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Udacity | Machine Learning Engineer Nanodegree v4.0.0 [FCO]
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Udacity | Machine Learning Engineer Nanodegree v4.0.0 [FCO] (Size: 2.91 GB)
| 0. Websites you may like | |||
| 0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url | 377 B | ||
| 1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url | 286 B | ||
| 3. (FTUApps.com) Download Cracked Developers Applications For Free.url | 239 B | ||
| How you can help our Group!.txt | 208 B | ||
| Part 01-Module 01-Lesson 01_Welcome to the Nanodegree program | |||
| 01. Arvato Final Project-qBR6A0IQXEE.en.vtt | 5.37 KB | ||
| 01. Arvato Final Project-qBR6A0IQXEE.mp4 | 26.44 MB | ||
| 01. Arvato Final Project-qBR6A0IQXEE.pt-BR.vtt | 5.72 KB | ||
| 01. Arvato Final Project-qBR6A0IQXEE.zh-CN.vtt | 4.86 KB | ||
| 01. Welcome to the Machine Learning Engineer Program _ Projects.html | 9.54 KB | ||
| 02. Program Structure.html | 9.3 KB | ||
| 03. Extracurricular Topics.html | 6.96 KB | ||
| 04. Skills that Set You Apart.html | 7.27 KB | ||
| 05. Knowledge.html | 12.51 KB | ||
| 06. Student Hub.html | 8.89 KB | ||
| 07. Access the Career Portal.html | 8.28 KB | ||
| img.zip | 7.35 MB | ||
| index.html | 4.68 KB | ||
| Part 01-Module 01-Lesson 02_Get Help with Your Account | |||
| 01. FAQ.html | 6.12 KB | ||
| 02. Support.html | 5.62 KB | ||
| img.zip | 2.22 MB | ||
| index.html | 4.15 KB | ||
| Part 02-Module 01-Lesson 01_Introduction to Software Engineering | |||
| 01. Introduction To Software Engineering-7kphieW4yl4.en.vtt | 3.15 KB | ||
| 01. Introduction To Software Engineering-7kphieW4yl4.mp4 | 14.89 MB | ||
| 01. Introduction To Software Engineering-7kphieW4yl4.pt-BR.vtt | 3.5 KB | ||
| 01. Introduction To Software Engineering-7kphieW4yl4.zh-CN.vtt | 2.83 KB | ||
| 01. Welcome.html | 6.28 KB | ||
| 02. Course Overview.html | 7.55 KB | ||
| 02. L1 02 Course Overview V1 V4-v-DB0W_I2n8.en.vtt | 1.25 KB | ||
| 02. L1 02 Course Overview V1 V4-v-DB0W_I2n8.mp4 | 3.72 MB | ||
| 02. L1 02 Course Overview V1 V4-v-DB0W_I2n8.pt-BR.vtt | 1.48 KB | ||
| 02. L1 02 Course Overview V1 V4-v-DB0W_I2n8.zh-CN.vtt | 1.08 KB | ||
| 03. L1 03 Meet Andrew V1 V2-IPSwDqqk2Cc.en.vtt | 1.89 KB | ||
| 03. L1 03 Meet Andrew V1 V2-IPSwDqqk2Cc.mp4 | 7.67 MB | ||
| 03. L1 03 Meet Andrew V1 V2-IPSwDqqk2Cc.pt-BR.vtt | 1.94 KB | ||
| 03. L1 03 Meet Andrew V1 V2-IPSwDqqk2Cc.zh-CN.vtt | 1.75 KB | ||
| 03. Meet Andrew.html | 5.78 KB | ||
| 04. L1 04 Meet Juno V1 V2-c4r2nGMogfM.en.vtt | 4.19 KB | ||
| 04. L1 04 Meet Juno V1 V2-c4r2nGMogfM.mp4 | 19.12 MB | ||
| 04. L1 04 Meet Juno V1 V2-c4r2nGMogfM.pt-BR.vtt | 4.57 KB | ||
| 04. L1 04 Meet Juno V1 V2-c4r2nGMogfM.zh-CN.vtt | 3.93 KB | ||
| 04. Meet Juno.html | 5.65 KB | ||
| index.html | 4.32 KB | ||
| Part 02-Module 01-Lesson 02_Software Engineering Practices Pt I | |||
| 01. Introduction.html | 8.56 KB | ||
| 01. L2 01 Intro V1 V1-z7v7oa--W48.en.vtt | 1.22 KB | ||
| 01. L2 01 Intro V1 V1-z7v7oa--W48.mp4 | 6.57 MB | ||
| 01. L2 01 Intro V1 V1-z7v7oa--W48.pt-BR.vtt | 1.39 KB | ||
| 01. L2 01 Intro V1 V1-z7v7oa--W48.zh-CN.vtt | 1.1 KB | ||
| 02. Clean and Modular Code.html | 11.5 KB | ||
| 02. L2 02 Clean Mod Code Vid 1 V1 V2-RjHV8kRpVbA.en.vtt | 5.12 KB | ||
| 02. L2 02 Clean Mod Code Vid 1 V1 V2-RjHV8kRpVbA.mp4 | 17.88 MB | ||
| 02. L2 02 Clean Mod Code Vid 1 V1 V2-RjHV8kRpVbA.pt-BR.vtt | 5.48 KB | ||
| 02. L2 02 Clean Mod Code Vid 1 V1 V2-RjHV8kRpVbA.zh-CN.vtt | 4.46 KB | ||
| 03. L2 03 Clean Mod Code Vid 2 V1 V1-9bxtHpPvXE0.en.vtt | 2.44 KB | ||
| 03. L2 03 Clean Mod Code Vid 2 V1 V1-9bxtHpPvXE0.mp4 | 12.31 MB | ||
| 03. L2 03 Clean Mod Code Vid 2 V1 V1-9bxtHpPvXE0.pt-BR.vtt | 2.74 KB | ||
| 03. L2 03 Clean Mod Code Vid 2 V1 V1-9bxtHpPvXE0.zh-CN.vtt | 2.09 KB | ||
| 03. Refactoring Code.html | 8.84 KB | ||
| 04. 01 Writing Clean Code V1-wNaiahWCwkQ.en.vtt | 6.71 KB | ||
| 04. 01 Writing Clean Code V1-wNaiahWCwkQ.mp4 | 15.42 MB | ||
| 04. 01 Writing Clean Code V1-wNaiahWCwkQ.pt-BR.vtt | 7.48 KB | ||
| 04. 01 Writing Clean Code V1-wNaiahWCwkQ.zh-CN.vtt | 6.26 KB | ||
| 04. Writing Clean Code.html | 10.75 KB | ||
| 05. Quiz Clean Code.html | 11.89 KB | ||
| 06. 02 Writing Modular Code V2-qN6EOyNlSnk.en.vtt | 7.63 KB | ||
| 06. 02 Writing Modular Code V2-qN6EOyNlSnk.mp4 | 7.71 MB | ||
| 06. 02 Writing Modular Code V2-qN6EOyNlSnk.pt-BR.vtt | 8.52 KB | ||
| 06. 02 Writing Modular Code V2-qN6EOyNlSnk.zh-CN.vtt | 6.75 KB | ||
| 06. Writing Modular Code.html | 10.53 KB | ||
| 07. Quiz Refactoring - Wine Quality.html | 8.37 KB | ||
| 08. Solution Refactoring - Wine Quality.html | 8.36 KB | ||
| 09. Efficient Code.html | 8.58 KB | ||
| 09. L2 06 Efficient Code V1 V2-LbtxY7xetBw.en.vtt | 2.1 KB | ||
| 09. L2 06 Efficient Code V1 V2-LbtxY7xetBw.mp4 | 8.4 MB | ||
| 09. L2 06 Efficient Code V1 V2-LbtxY7xetBw.pt-BR.vtt | 2.42 KB | ||
| 09. L2 06 Efficient Code V1 V2-LbtxY7xetBw.zh-CN.vtt | 1.83 KB | ||
| 10. 03 Optimizing Common Books V1-WF9n_19V08g.en.vtt | 4.9 KB | ||
| 10. 03 Optimizing Common Books V1-WF9n_19V08g.mp4 | 8.1 MB | ||
| 10. 03 Optimizing Common Books V1-WF9n_19V08g.pt-BR.vtt | 5.58 KB | ||
| 10. 03 Optimizing Common Books V1-WF9n_19V08g.zh-CN.vtt | 4.6 KB | ||
| 10. Optimizing - Common Books.html | 8.32 KB | ||
| 11. Quiz Optimizing - Common Books.html | 8.36 KB | ||
| 12. Solution Optimizing - Common Books.html | 8.37 KB | ||
| 13. Quiz Optimizing - Holiday Gifts.html | 8.37 KB | ||
| 14. Solution Optimizing - Holiday Gifts.html | 8.36 KB | ||
| 15. Documentation.html | 8.65 KB | ||
| 15. L2 10 Documentation V1 V3-M45B2VbPgjo.en.vtt | 1.51 KB | ||
| 15. L2 10 Documentation V1 V3-M45B2VbPgjo.mp4 | 4.38 MB | ||
| 15. L2 10 Documentation V1 V3-M45B2VbPgjo.pt-BR.vtt | 1.75 KB | ||
| 15. L2 10 Documentation V1 V3-M45B2VbPgjo.zh-CN.vtt | 1.35 KB | ||
| 16. 04 Inline Comments V1--G6yg3Xhl8I.en.vtt | 2.38 KB | ||
| 16. 04 Inline Comments V1--G6yg3Xhl8I.mp4 | 3.54 MB | ||
| 16. 04 Inline Comments V1--G6yg3Xhl8I.pt-BR.vtt | 2.87 KB | ||
| 16. 04 Inline Comments V1--G6yg3Xhl8I.zh-CN.vtt | 2.26 KB | ||
| 16. In-line Comments.html | 8.89 KB | ||
| 17. 05 Docstrings V1-_gapemxsRJY.en.vtt | 1.71 KB | ||
| 17. 05 Docstrings V1-_gapemxsRJY.mp4 | 1.66 MB | ||
| 17. 05 Docstrings V1-_gapemxsRJY.pt-BR.vtt | 1.99 KB | ||
| 17. 05 Docstrings V1-_gapemxsRJY.zh-CN.vtt | 1.5 KB | ||
| 17. Docstrings.html | 9.99 KB | ||
| 18. Project Documentation.html | 9.23 KB | ||
| 19. Documentation.html | 10.17 KB | ||
| 20. L2 17 Version Control In Data Science V1 V1-EQzrLC88Bzk.en.vtt | 867 B | ||
| 20. L2 17 Version Control In Data Science V1 V1-EQzrLC88Bzk.mp4 | 2.94 MB | ||
| 20. L2 17 Version Control In Data Science V1 V1-EQzrLC88Bzk.pt-BR.vtt | 995 B | ||
| 20. L2 17 Version Control In Data Science V1 V1-EQzrLC88Bzk.zh-CN.vtt | 738 B | ||
| 20. Version Control in Data Science.html | 8.42 KB | ||
| 21. L2 18 Version Control Git Branches V1 V2-C92YcuwjZOs.en.vtt | 3.69 KB | ||
| 21. L2 18 Version Control Git Branches V1 V2-C92YcuwjZOs.mp4 | 3.93 MB | ||
| 21. L2 18 Version Control Git Branches V1 V2-C92YcuwjZOs.pt-BR.vtt | 4.3 KB | ||
| 21. L2 18 Version Control Git Branches V1 V2-C92YcuwjZOs.zh-CN.vtt | 3.13 KB | ||
| 21. Scenario #1.html | 12.26 KB | ||
| 22. L2 18 Version Control Git Commit Messages V1 V2-w1iHWpwOkMg.en.vtt | 1.71 KB | ||
| 22. L2 18 Version Control Git Commit Messages V1 V2-w1iHWpwOkMg.mp4 | 1.9 MB | ||
| 22. L2 18 Version Control Git Commit Messages V1 V2-w1iHWpwOkMg.pt-BR.vtt | 1.99 KB | ||
| 22. L2 18 Version Control Git Commit Messages V1 V2-w1iHWpwOkMg.zh-CN.vtt | 1.45 KB | ||
| 22. Scenario #2.html | 9.78 KB | ||
| 23. L2 18 Version Control Merging Branches On A Team V1 V2-36DOnNzvT4A.en.vtt | 1.57 KB | ||
| 23. L2 18 Version Control Merging Branches On A Team V1 V2-36DOnNzvT4A.mp4 | 3.04 MB | ||
| 23. L2 18 Version Control Merging Branches On A Team V1 V2-36DOnNzvT4A.pt-BR.vtt | 1.87 KB | ||
| 23. L2 18 Version Control Merging Branches On A Team V1 V2-36DOnNzvT4A.zh-CN.vtt | 1.37 KB | ||
| 23. Scenario #3.html | 12.01 KB | ||
| 24. Model Versioning.html | 8.55 KB | ||
| 25. Conclusion.html | 7.91 KB | ||
| 25. L2 21 Conclusion V1 V1-anPnokWZOZQ.en.vtt | 816 B | ||
| 25. L2 21 Conclusion V1 V1-anPnokWZOZQ.mp4 | 2.84 MB | ||
| 25. L2 21 Conclusion V1 V1-anPnokWZOZQ.pt-BR.vtt | 984 B | ||
| 25. L2 21 Conclusion V1 V1-anPnokWZOZQ.zh-CN.vtt | 739 B | ||
| index.html | 6.06 KB | ||
| Part 02-Module 01-Lesson 03_Software Engineering Practices Pt II | |||
| 01. Introduction.html | 7.12 KB | ||
| 01. L2 2 01 Intro V1 V2-QO2GYq8q92E.en.vtt | 685 B | ||
| 01. L2 2 01 Intro V1 V2-QO2GYq8q92E.mp4 | 3.87 MB | ||
| 01. L2 2 01 Intro V1 V2-QO2GYq8q92E.pt-BR.vtt | 871 B | ||
| 01. L2 2 01 Intro V1 V2-QO2GYq8q92E.zh-CN.vtt | 660 B | ||
| 02. L2 2 02 Testing V1 V1-IkLUUHt_jis.en.vtt | 1.38 KB | ||
| 02. L2 2 02 Testing V1 V1-IkLUUHt_jis.mp4 | 6.49 MB | ||
| 02. L2 2 02 Testing V1 V1-IkLUUHt_jis.pt-BR.vtt | 1.69 KB | ||
| 02. L2 2 02 Testing V1 V1-IkLUUHt_jis.zh-CN.vtt | 1.19 KB | ||
| 02. Testing.html | 7.13 KB | ||
| 03. L2 2 03 Testing Data Science V1 V4-AsnstNEMv1c.en.vtt | 2.17 KB | ||
| 03. L2 2 03 Testing Data Science V1 V4-AsnstNEMv1c.mp4 | 7.7 MB | ||
| 03. L2 2 03 Testing Data Science V1 V4-AsnstNEMv1c.pt-BR.vtt | 2.68 KB | ||
| 03. L2 2 03 Testing Data Science V1 V4-AsnstNEMv1c.zh-CN.vtt | 1.87 KB | ||
| 03. Testing and Data Science.html | 8.37 KB | ||
| 04. 06 Unit Tests V1-wb9jggHEvgI.en.vtt | 3.91 KB | ||
| 04. 06 Unit Tests V1-wb9jggHEvgI.mp4 | 4.49 MB | ||
| 04. 06 Unit Tests V1-wb9jggHEvgI.pt-BR.vtt | 4.04 KB | ||
| 04. 06 Unit Tests V1-wb9jggHEvgI.zh-CN.vtt | 3.52 KB | ||
| 04. Unit Tests.html | 8.17 KB | ||
| 05. 07 Unit Testing Tools V1-8bKhOyFbX_Y.en.vtt | 1.86 KB | ||
| 05. 07 Unit Testing Tools V1-8bKhOyFbX_Y.mp4 | 2.77 MB | ||
| 05. 07 Unit Testing Tools V1-8bKhOyFbX_Y.pt-BR.vtt | 2.11 KB | ||
| 05. 07 Unit Testing Tools V1-8bKhOyFbX_Y.zh-CN.vtt | 1.69 KB | ||
| 05. Unit Testing Tools.html | 8.08 KB | ||
| 06. Quiz Unit Tests.html | 7.14 KB | ||
| 07. L2 2 09 Test Driven Development DS V1 V2-M-eskssLcQM.en.vtt | 3.26 KB | ||
| 07. L2 2 09 Test Driven Development DS V1 V2-M-eskssLcQM.mp4 | 5.9 MB | ||
| 07. L2 2 09 Test Driven Development DS V1 V2-M-eskssLcQM.pt-BR.vtt | 3.68 KB | ||
| 07. L2 2 09 Test Driven Development DS V1 V2-M-eskssLcQM.zh-CN.vtt | 2.95 KB | ||
| 07. Test Driven Development and Data Science.html | 8.88 KB | ||
| 08. L2 2 11 Logging V2-9qKQdRoIMbU.en.vtt | 1.05 KB | ||
| 08. L2 2 11 Logging V2-9qKQdRoIMbU.mp4 | 3.02 MB | ||
| 08. L2 2 11 Logging V2-9qKQdRoIMbU.pt-BR.vtt | 1.25 KB | ||
| 08. L2 2 11 Logging V2-9qKQdRoIMbU.zh-CN.vtt | 937 B | ||
| 08. Logging.html | 7.16 KB | ||
| 09. Log Messages.html | 7.71 KB | ||
| 10. Logging.html | 7.86 KB | ||
| 11. Code Review.html | 7.5 KB | ||
| 11. L2 2 14 Code Review V1 V2-zAy1ffMFA-k.en.vtt | 1.02 KB | ||
| 11. L2 2 14 Code Review V1 V2-zAy1ffMFA-k.mp4 | 3.3 MB | ||
| 11. L2 2 14 Code Review V1 V2-zAy1ffMFA-k.pt-BR.vtt | 1.21 KB | ||
| 11. L2 2 14 Code Review V1 V2-zAy1ffMFA-k.zh-CN.vtt | 966 B | ||
| 12. Questions to Ask Yourself When Conducting a Code Review.html | 8.34 KB | ||
| 13. Tips for Conducting a Code Review.html | 11.01 KB | ||
| 14. Conclusion.html | 6.74 KB | ||
| 14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.en.vtt | 671 B | ||
| 14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.mp4 | 2.06 MB | ||
| 14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.pt-BR.vtt | 841 B | ||
| 14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.zh-CN.vtt | 547 B | ||
| index.html | 5.15 KB | ||
| Part 02-Module 01-Lesson 04_Introduction to Object-Oriented Programming | |||
| 01. Introduction-5DfFaAl1Wmc.en.vtt | 1.71 KB | ||
| 01. Introduction-5DfFaAl1Wmc.mp4 | 8.22 MB | ||
| 01. Introduction-5DfFaAl1Wmc.pt-BR.vtt | 1.76 KB | ||
| 01. Introduction-5DfFaAl1Wmc.zh-CN.vtt | 1.56 KB | ||
| 01. Introduction.html | 11.8 KB | ||
| 02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.en.vtt | 2.34 KB | ||
| 02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.mp4 | 8.56 MB | ||
| 02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.pt-BR.vtt | 2.48 KB | ||
| 02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.zh-CN.vtt | 1.94 KB | ||
| 02. Procedural vs. Object-Oriented Programming.html | 13.66 KB | ||
| 03. Class, Object, Method and Attribute.html | 13.21 KB | ||
| 03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.en.vtt | 3.21 KB | ||
| 03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.mp4 | 6.49 MB | ||
| 03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.pt-BR.vtt | 3.22 KB | ||
| 03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.zh-CN.vtt | 2.77 KB | ||
| 04. OOP Syntax.html | 10.88 KB | ||
| 04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.en.vtt | 7.9 KB | ||
| 04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.mp4 | 8.26 MB | ||
| 04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.pt-BR.vtt | 7.47 KB | ||
| 04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.zh-CN.vtt | 7.06 KB | ||
| 05. Exercise OOP Syntax Practice - Part 1.html | 9.09 KB | ||
| 06. A Couple of Notes about OOP.html | 15.48 KB | ||
| 06. Notes On OOP-NcgDIWm6iBA.en.vtt | 6.1 KB | ||
| 06. Notes On OOP-NcgDIWm6iBA.mp4 | 6.26 MB | ||
| 06. Notes On OOP-NcgDIWm6iBA.pt-BR.vtt | 6.08 KB | ||
| 06. Notes On OOP-NcgDIWm6iBA.zh-CN.vtt | 5.35 KB | ||
| 07. Exercise OOP Syntax Practice - Part 2.html | 9.1 KB | ||
| 08. Commenting Object-Oriented Code.html | 10.99 KB | ||
| 09. A Gaussian Class.html | 15.96 KB | ||
| 09. Gaussian Class-TVzNdFYyJIU.en.vtt | 2.11 KB | ||
| 09. Gaussian Class-TVzNdFYyJIU.mp4 | 6.04 MB | ||
| 09. Gaussian Class-TVzNdFYyJIU.pt-BR.vtt | 2.11 KB | ||
| 09. Gaussian Class-TVzNdFYyJIU.zh-CN.vtt | 1.84 KB | ||
| 10. How The Gaussian Class Works-N-5I0d1zJHI.en.vtt | 5.25 KB | ||
| 10. How The Gaussian Class Works-N-5I0d1zJHI.mp4 | 8.09 MB | ||
| 10. How The Gaussian Class Works-N-5I0d1zJHI.pt-BR.vtt | 4.83 KB | ||
| 10. How The Gaussian Class Works-N-5I0d1zJHI.zh-CN.vtt | 4.55 KB | ||
| 10. How the Gaussian Class Works.html | 8.88 KB | ||
| 11. Exercise Code the Gaussian Class.html | 9.07 KB | ||
| 12. L3 10 Magic M V1 V3-9dEsv1aNUEE.en.vtt | 2.34 KB | ||
| 12. L3 10 Magic M V1 V3-9dEsv1aNUEE.mp4 | 4.95 MB | ||
| 12. L3 10 Magic M V1 V3-9dEsv1aNUEE.pt-BR.vtt | 2.23 KB | ||
| 12. L3 10 Magic M V1 V3-9dEsv1aNUEE.zh-CN.vtt | 1.95 KB | ||
| 12. Magic Methods in Code-oDuXThOqans.en.vtt | 4.09 KB | ||
| 12. Magic Methods in Code-oDuXThOqans.mp4 | 4.36 MB | ||
| 12. Magic Methods in Code-oDuXThOqans.pt-BR.vtt | 3.77 KB | ||
| 12. Magic Methods in Code-oDuXThOqans.zh-CN.vtt | 3.51 KB | ||
| 12. Magic Methods.html | 9.48 KB | ||
| 13. Exercise Code Magic Methods.html | 9.05 KB | ||
| 14. 13 Inheritance Example V1-uWT-HIHBjv0.en.vtt | 1.93 KB | ||
| 14. 13 Inheritance Example V1-uWT-HIHBjv0.mp4 | 2 MB | ||
| 14. 13 Inheritance Example V1-uWT-HIHBjv0.pt-BR.vtt | 1.91 KB | ||
| 14. 13 Inheritance Example V1-uWT-HIHBjv0.zh-CN.vtt | 1.64 KB | ||
| 14. Inheritance-1gsrxUwPI40.en.vtt | 2.64 KB | ||
| 14. Inheritance-1gsrxUwPI40.mp4 | 3.52 MB | ||
| 14. Inheritance-1gsrxUwPI40.pt-BR.vtt | 2.44 KB | ||
| 14. Inheritance-1gsrxUwPI40.zh-CN.vtt | 2.27 KB | ||
| 14. Inheritance.html | 11.07 KB | ||
| 15. Exercise Inheritance with Clothing.html | 9.09 KB | ||
| 16. Inheritance Gaussian Class-XS4LQn1VA3U.en.vtt | 2.91 KB | ||
| 16. Inheritance Gaussian Class-XS4LQn1VA3U.mp4 | 3.47 MB | ||
| 16. Inheritance Gaussian Class-XS4LQn1VA3U.pt-BR.vtt | 2.84 KB | ||
| 16. Inheritance Gaussian Class-XS4LQn1VA3U.zh-CN.vtt | 2.47 KB | ||
| 16. Inheritance Probability Distribution.html | 8.9 KB | ||
| 17. Demo Inheritance Probability Distributions.html | 9.1 KB | ||
| 18. Advanced OOP Topics.html | 9.82 KB | ||
| 19. Organizing Code Into Modules-AARS10U5bbo.en.vtt | 4.71 KB | ||
| 19. Organizing Code Into Modules-AARS10U5bbo.mp4 | 4.49 MB | ||
| 19. Organizing Code Into Modules-AARS10U5bbo.pt-BR.vtt | 4.86 KB | ||
| 19. Organizing Code Into Modules-AARS10U5bbo.zh-CN.vtt | 4.36 KB | ||
| 19. Organizing into Modules.html | 10.55 KB | ||
| 20. Demo Modularized Code.html | 9.04 KB | ||
| 21. 15 Making a Package v2-Hj2OBr1CGZM.en.vtt | 7.52 KB | ||
| 21. 15 Making a Package v2-Hj2OBr1CGZM.mp4 | 7.53 MB | ||
| 21. 15 Making a Package v2-Hj2OBr1CGZM.pt-BR.vtt | 7.77 KB | ||
| 21. 15 Making a Package v2-Hj2OBr1CGZM.zh-CN.vtt | 6.84 KB | ||
| 21. Making a Package.html | 11.42 KB | ||
| 22. Virtual Environments-f7rzxUiHOJ0.en.vtt | 3.25 KB | ||
| 22. Virtual Environments-f7rzxUiHOJ0.mp4 | 2.99 MB | ||
| 22. Virtual Environments-f7rzxUiHOJ0.pt-BR.vtt | 3.33 KB | ||
| 22. Virtual Environments-f7rzxUiHOJ0.zh-CN.vtt | 3.04 KB | ||
| 22. Virtual Environments.html | 14.83 KB | ||
| 23. Exercise Making a Package and Pip Installing.html | 9.1 KB | ||
| 24. Binomial Class-O-4qRh74rkI.en.vtt | 1.27 KB | ||
| 24. Binomial Class-O-4qRh74rkI.mp4 | 3.44 MB | ||
| 24. Binomial Class-O-4qRh74rkI.pt-BR.vtt | 1.38 KB | ||
| 24. Binomial Class-O-4qRh74rkI.zh-CN.vtt | 1.11 KB | ||
| 24. Binomial Class-xTamXY6Z9Kg.en.vtt | 3.35 KB | ||
| 24. Binomial Class-xTamXY6Z9Kg.mp4 | 4.33 MB | ||
| 24. Binomial Class-xTamXY6Z9Kg.pt-BR.vtt | 3.3 KB | ||
| 24. Binomial Class-xTamXY6Z9Kg.zh-CN.vtt | 3.05 KB | ||
| 24. Binomial Class.html | 9.5 KB | ||
| 25. Exercise Binomial Class.html | 9.05 KB | ||
| 26. Scikit-learn Source Code.html | 9.95 KB | ||
| 26. Scikitlearn Source Code-4_qkqMsbthg.en.vtt | 5.56 KB | ||
| 26. Scikitlearn Source Code-4_qkqMsbthg.mp4 | 9.62 MB | ||
| 26. Scikitlearn Source Code-4_qkqMsbthg.pt-BR.vtt | 5.66 KB | ||
| 26. Scikitlearn Source Code-4_qkqMsbthg.zh-CN.vtt | 5.09 KB | ||
| 27. 20 Putting Code On PyPi V1-4uosDOKn5LI.en.vtt | 9.61 KB | ||
| 27. 20 Putting Code On PyPi V1-4uosDOKn5LI.mp4 | 16.29 MB | ||
| 27. 20 Putting Code On PyPi V1-4uosDOKn5LI.pt-BR.vtt | 9.98 KB | ||
| 27. 20 Putting Code On PyPi V1-4uosDOKn5LI.zh-CN.vtt | 8.81 KB | ||
| 27. Putting Code on PyPi.html | 12.18 KB | ||
| 28. Exercise Upload to PyPi.html | 9.04 KB | ||
| 29. L3 21 Outro v1 V2-DStO1hBKtHQ.en.vtt | 2.13 KB | ||
| 29. L3 21 Outro v1 V2-DStO1hBKtHQ.mp4 | 6.15 MB | ||
| 29. L3 21 Outro v1 V2-DStO1hBKtHQ.pt-BR.vtt | 2.32 KB | ||
| 29. L3 21 Outro v1 V2-DStO1hBKtHQ.zh-CN.vtt | 1.95 KB | ||
| 29. Lesson Summary.html | 9.2 KB | ||
| img.zip | 330.99 KB | ||
| index.html | 6.7 KB | ||
| Part 02-Module 01-Lesson 05_Portfolio Exercise Upload a Package to PyPi | |||
| 01. Introduction.html | 13.77 KB | ||
| 02. Troubleshooting Possible Errors.html | 7.02 KB | ||
| 03. Workspace.html | 5.87 KB | ||
| index.html | 4.32 KB | ||
| Part 03-Module 01-Lesson 01_Introduction to Deployment | |||
| 01. Welcome To Deployment-jQ2IZzga8Nw.en.vtt | 1.96 KB | ||
| 01. Welcome To Deployment-jQ2IZzga8Nw.mp4 | 6.52 MB | ||
| 01. Welcome To Deployment-jQ2IZzga8Nw.zh-CN.vtt | 1.74 KB | ||
| 01. Welcome!.html | 8.11 KB | ||
| 02. What_s Ahead.html | 9.58 KB | ||
| 03. Machine Learning Workflow - Part 1 Introduction--ZtVV7RvGYY.en.vtt | 1.64 KB | ||
| 03. Machine Learning Workflow - Part 1 Introduction--ZtVV7RvGYY.mp4 | 4.44 MB | ||
| 03. Machine Learning Workflow - Part 1 Introduction--ZtVV7RvGYY.zh-CN.vtt | 1.38 KB | ||
| 03. Problem Introduction.html | 8.25 KB | ||
| 04. Machine Learning Workflow - Part 2 Details-ku_96X6TZas.en.vtt | 4.92 KB | ||
| 04. Machine Learning Workflow - Part 2 Details-ku_96X6TZas.mp4 | 13.73 MB | ||
| 04. Machine Learning Workflow - Part 2 Details-ku_96X6TZas.zh-CN.vtt | 4.15 KB | ||
| 04. Machine Learning Workflow.html | 9.57 KB | ||
| 05. Machine Learning Workflow.html | 9.19 KB | ||
| 06. What is Cloud Computing _ Why Would We Use It.html | 17.21 KB | ||
| 07. Why Cloud Computing .html | 16.06 KB | ||
| 08. Machine Learning Applications.html | 9.76 KB | ||
| 08. Machine Learning in the Workplace-Q4rgQo6ofoc.en.vtt | 3.47 KB | ||
| 08. Machine Learning in the Workplace-Q4rgQo6ofoc.mp4 | 14.28 MB | ||
| 08. Machine Learning in the Workplace-Q4rgQo6ofoc.zh-CN.vtt | 2.93 KB | ||
| 09. Machine Learning Applications.html | 10.32 KB | ||
| 10. Paths to Deployment.html | 15.35 KB | ||
| 11. Paths to Deployment.html | 9.4 KB | ||
| 12. Production Environment-BH23Me3bbF4.en.vtt | 2.91 KB | ||
| 12. Production Environment-BH23Me3bbF4.mp4 | 7.14 MB | ||
| 12. Production Environment-BH23Me3bbF4.zh-CN.vtt | 2.39 KB | ||
| 12. Production Environments.html | 8.16 KB | ||
| 13. Production Environments.html | 10.84 KB | ||
| 14. Endpoints _ REST APIs.html | 16.98 KB | ||
| 15. Endpoints _ REST APIs.html | 14.92 KB | ||
| 16. Containers.html | 15.59 KB | ||
| 17. Containers.html | 11.33 KB | ||
| 18. Containers - Straight From the Experts.html | 9.82 KB | ||
| 18. Jesse Swidler Interview on Containers-XimuK3WHOH4.en.vtt | 6.73 KB | ||
| 18. Jesse Swidler Interview on Containers-XimuK3WHOH4.mp4 | 42.11 MB | ||
| 18. Jesse Swidler Interview on Containers-XimuK3WHOH4.zh-CN.vtt | 5.64 KB | ||
| 19. Characteristics of Modeling _ Deployment.html | 16.32 KB | ||
| 20. Characteristics of Modeling _ Deployment.html | 13.35 KB | ||
| 21. Comparing Cloud Providers.html | 26.79 KB | ||
| 22. Comparing Cloud Providers.html | 13.59 KB | ||
| 23. Closing Remarks On Deployment-fXl_MCYzcOU.en.vtt | 1.92 KB | ||
| 23. Closing Remarks On Deployment-fXl_MCYzcOU.mp4 | 4.52 MB | ||
| 23. Closing Remarks On Deployment-fXl_MCYzcOU.zh-CN.vtt | 1.65 KB | ||
| 23. Closing Statements.html | 8.16 KB | ||
| 24. Summary.html | 8.88 KB | ||
| 25. [Optional] Cloud Computing Defined.html | 36.25 KB | ||
| 26. [Optional] Cloud Computing Explained.html | 46.41 KB | ||
| img.zip | 12.68 MB | ||
| index.html | 6.36 KB | ||
| Part 03-Module 01-Lesson 02_Building a Model using SageMaker | |||
| 01. Deploying A Model With Sagemakerv2 RENDER V1 V2-nJCc4_9-iAQ.en.vtt | 4.39 KB | ||
| 01. Deploying A Model With Sagemakerv2 RENDER V1 V2-nJCc4_9-iAQ.mp4 | 15.43 MB | ||
| 01. Deploying A Model With Sagemakerv2 RENDER V1 V2-nJCc4_9-iAQ.zh-CN.vtt | 3.87 KB | ||
| 01. Introduction to Amazon SageMaker.html | 8.37 KB | ||
| 02. AWS Setup Instructions for Regular account.html | 9.02 KB | ||
| 03. AWS SageMaker.html | 15.59 KB | ||
| 04. SageMaker Instance Utilization Limits.html | 16.52 KB | ||
| 05. Deployment L2 C2 V2-TRUCNy5Eqjc.en.vtt | 3.6 KB | ||
| 05. Deployment L2 C2 V2-TRUCNy5Eqjc.mp4 | 7.89 MB | ||
| 05. Deployment L2 C2 V2-TRUCNy5Eqjc.zh-CN.vtt | 3.01 KB | ||
| 05. Setting up a Notebook Instance.html | 11.9 KB | ||
| 06. Cloning the Deployment Notebooks.html | 9.58 KB | ||
| 06. Deployment L2 C3 V2-jqL74whe9yo.en.vtt | 1.81 KB | ||
| 06. Deployment L2 C3 V2-jqL74whe9yo.mp4 | 3.89 MB | ||
| 06. Deployment L2 C3 V2-jqL74whe9yo.zh-CN.vtt | 1.49 KB | ||
| 07. Is Everything Set Up.html | 9.03 KB | ||
| 08. Boston Housing Example - Getting the Data Ready.html | 12.59 KB | ||
| 08. Deployment L2 C4 V1-78y5cTR-JxM.en.vtt | 6.21 KB | ||
| 08. Deployment L2 C4 V1-78y5cTR-JxM.mp4 | 10.63 MB | ||
| 08. Deployment L2 C4 V1-78y5cTR-JxM.zh-CN.vtt | 5.29 KB | ||
| 09. Boston Housing Example - Training the Model.html | 9.91 KB | ||
| 09. Deployment L2 C5 V1-rqYlkCTLmIY.en.vtt | 5.82 KB | ||
| 09. Deployment L2 C5 V1-rqYlkCTLmIY.mp4 | 8.36 MB | ||
| 09. Deployment L2 C5 V1-rqYlkCTLmIY.zh-CN.vtt | 5.04 KB | ||
| 10. Boston Housing Example - Testing the Model.html | 8.12 KB | ||
| 10. Deployment L2 C6 V1-CZRKuS_qYtg.en.vtt | 6.21 KB | ||
| 10. Deployment L2 C6 V1-CZRKuS_qYtg.mp4 | 10.05 MB | ||
| 10. Deployment L2 C6 V1-CZRKuS_qYtg.zh-CN.vtt | 5.09 KB | ||
| 11. Deployment L2 C7 V1-ouLvRqMMbbY.en.vtt | 2.85 KB | ||
| 11. Deployment L2 C7 V1-ouLvRqMMbbY.mp4 | 6.15 MB | ||
| 11. Deployment L2 C7 V1-ouLvRqMMbbY.zh-CN.vtt | 2.42 KB | ||
| 11. Mini-Project Building Your First Model.html | 8.92 KB | ||
| 12. Deployment L2 C8 V1-utUxiW-tZrY.en.vtt | 7.01 KB | ||
| 12. Deployment L2 C8 V1-utUxiW-tZrY.mp4 | 10.9 MB | ||
| 12. Deployment L2 C8 V1-utUxiW-tZrY.zh-CN.vtt | 5.57 KB | ||
| 12. Mini-Project Solution.html | 7.48 KB | ||
| 13. Boston Housing In-Depth - Data Preparation.html | 9.14 KB | ||
| 13. Deployment L2 C9b V2-TA-Ms7djeL0.en.vtt | 4.9 KB | ||
| 13. Deployment L2 C9b V2-TA-Ms7djeL0.mp4 | 7.57 MB | ||
| 13. Deployment L2 C9b V2-TA-Ms7djeL0.zh-CN.vtt | 4.22 KB | ||
| 14. Boston Housing In-Depth - Creating a Training Job.html | 7.57 KB | ||
| 14. Deployment L2 C10b V1-1CIbWNUSZXo.en.vtt | 6.51 KB | ||
| 14. Deployment L2 C10b V1-1CIbWNUSZXo.mp4 | 16.82 MB | ||
| 14. Deployment L2 C10b V1-1CIbWNUSZXo.zh-CN.vtt | 5.38 KB | ||
| 15. Boston Housing In-Depth - Building a Model.html | 7.56 KB | ||
| 15. Deployment L2 C11b V1-JJyVsmcV2M4.en.vtt | 6.04 KB | ||
| 15. Deployment L2 C11b V1-JJyVsmcV2M4.mp4 | 10.78 MB | ||
| 15. Deployment L2 C11b V1-JJyVsmcV2M4.zh-CN.vtt | 5.1 KB | ||
| 16. Boston Housing In-Depth - Creating a Batch Transform Job.html | 7.55 KB | ||
| 16. Deployment L2 C12 V1-JwPJMYRl3nw.en.vtt | 4.21 KB | ||
| 16. Deployment L2 C12 V1-JwPJMYRl3nw.mp4 | 7.25 MB | ||
| 16. Deployment L2 C12 V1-JwPJMYRl3nw.zh-CN.vtt | 3.47 KB | ||
| 17. Summary.html | 11.01 KB | ||
| img.zip | 1.26 MB | ||
| index.html | 5.91 KB | ||
| Part 03-Module 01-Lesson 03_Deploying and Using a Model | |||
| 01. Deploying a Model in SageMaker.html | 9.05 KB | ||
| 01. L3 00 Intro V2-g_GYZpcVcFE.en.vtt | 797 B | ||
| 01. L3 00 Intro V2-g_GYZpcVcFE.mp4 | 2.79 MB | ||
| 01. L3 00 Intro V2-g_GYZpcVcFE.zh-CN.vtt | 718 B | ||
| 02. Boston Housing Example - Deploying the Model.html | 8.45 KB | ||
| 02. Deployment L3 C1 V1-0PBsV-SzSlo.en.vtt | 5.22 KB | ||
| 02. Deployment L3 C1 V1-0PBsV-SzSlo.mp4 | 11.84 MB | ||
| 02. Deployment L3 C1 V1-0PBsV-SzSlo.zh-CN.vtt | 4.39 KB | ||
| 03. Boston Housing In-Depth - Deploying the Model.html | 8.28 KB | ||
| 03. Deployment L3 C2 V1-1lzWAzypJ9k.en.vtt | 9.22 KB | ||
| 03. Deployment L3 C2 V1-1lzWAzypJ9k.mp4 | 16.24 MB | ||
| 03. Deployment L3 C2 V1-1lzWAzypJ9k.zh-CN.vtt | 7.6 KB | ||
| 04. Deploying and Using a Sentiment Analysis Model.html | 8.66 KB | ||
| 04. Deployment L3 C3 V1-r7XVQEojRKk.en.vtt | 2.3 KB | ||
| 04. Deployment L3 C3 V1-r7XVQEojRKk.mp4 | 3.55 MB | ||
| 04. Deployment L3 C3 V1-r7XVQEojRKk.zh-CN.vtt | 1.93 KB | ||
| 05. Bag Of Words-A7M1z8yLl0w.en.vtt | 4.72 KB | ||
| 05. Bag Of Words-A7M1z8yLl0w.mp4 | 6.57 MB | ||
| 05. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt | 5.04 KB | ||
| 05. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt | 4.12 KB | ||
| 05. Text Processing, Bag of Words.html | 9.65 KB | ||
| 06. Building and Deploying the Model.html | 7.91 KB | ||
| 06. Deployment L3 C4b V1-JCiQhhXbeuc.en.vtt | 8.45 KB | ||
| 06. Deployment L3 C4b V1-JCiQhhXbeuc.mp4 | 17.17 MB | ||
| 06. Deployment L3 C4b V1-JCiQhhXbeuc.zh-CN.vtt | 6.79 KB | ||
| 07. Deployment L3 C5b V1-WTwj-7XcTro.en.vtt | 10.36 KB | ||
| 07. Deployment L3 C5b V1-WTwj-7XcTro.mp4 | 17.32 MB | ||
| 07. Deployment L3 C5b V1-WTwj-7XcTro.zh-CN.vtt | 8.53 KB | ||
| 07. How to Use a Deployed Model.html | 9.03 KB | ||
| 08. Creating and Using an Endpoint.html | 8.75 KB | ||
| 09. Building a Lambda Function.html | 15.65 KB | ||
| 09. Deployment L3 C6 V1-jOXETK4AerU.en.vtt | 9.36 KB | ||
| 09. Deployment L3 C6 V1-jOXETK4AerU.mp4 | 18.8 MB | ||
| 09. Deployment L3 C6 V1-jOXETK4AerU.zh-CN.vtt | 7.9 KB | ||
| 10. Building an API.html | 7.78 KB | ||
| 10. Deployment L3 C7 V1-AzBQ-aDQSG4.en.vtt | 5.16 KB | ||
| 10. Deployment L3 C7 V1-AzBQ-aDQSG4.mp4 | 7.75 MB | ||
| 10. Deployment L3 C7 V1-AzBQ-aDQSG4.zh-CN.vtt | 4.28 KB | ||
| 11. Deployment L3 C8 V1-VgG41Q_a15I.en.vtt | 5.1 KB | ||
| 11. Deployment L3 C8 V1-VgG41Q_a15I.mp4 | 8.1 MB | ||
| 11. Deployment L3 C8 V1-VgG41Q_a15I.zh-CN.vtt | 4.24 KB | ||
| 11. Using the Final Web Application.html | 8.29 KB | ||
| 12. Summary.html | 8.46 KB | ||
| img.zip | 366.17 KB | ||
| index.html | 5.24 KB | ||
| Part 03-Module 01-Lesson 04_Hyperparameter Tuning | |||
| 01. Hyperparameter Tuning.html | 7.98 KB | ||
| 01. L4 00 Intro V2-ohVX3RUTghg.en.vtt | 988 B | ||
| 01. L4 00 Intro V2-ohVX3RUTghg.mp4 | 3.7 MB | ||
| 01. L4 00 Intro V2-ohVX3RUTghg.zh-CN.vtt | 830 B | ||
| 02. Deployment L4 C1 V1-nah8kxqp55U.en.vtt | 5.87 KB | ||
| 02. Deployment L4 C1 V1-nah8kxqp55U.mp4 | 10.74 MB | ||
| 02. Deployment L4 C1 V1-nah8kxqp55U.zh-CN.vtt | 4.73 KB | ||
| 02. Introduction to Hyperparameter Tuning.html | 7.71 KB | ||
| 03. Boston Housing Example - Tuning the Model.html | 8.72 KB | ||
| 03. Deployment L4 C2 V1-lsYRtKivrGc.en.vtt | 5.31 KB | ||
| 03. Deployment L4 C2 V1-lsYRtKivrGc.mp4 | 10.26 MB | ||
| 03. Deployment L4 C2 V1-lsYRtKivrGc.zh-CN.vtt | 4.32 KB | ||
| 04. Deployment L4 C3 V1-7XORMSX7vAY.en.vtt | 1.44 KB | ||
| 04. Deployment L4 C3 V1-7XORMSX7vAY.mp4 | 3.26 MB | ||
| 04. Deployment L4 C3 V1-7XORMSX7vAY.zh-CN.vtt | 1.26 KB | ||
| 04. Mini-Project Tuning the Sentiment Analysis Model.html | 7.62 KB | ||
| 05. Deployment L4 C4 V1-Q2Vthdca49I.en.vtt | 3.67 KB | ||
| 05. Deployment L4 C4 V1-Q2Vthdca49I.mp4 | 6.13 MB | ||
| 05. Deployment L4 C4 V1-Q2Vthdca49I.zh-CN.vtt | 2.97 KB | ||
| 05. Mini-Project Solution - Tuning the Model.html | 6.71 KB | ||
| 06. Deployment L4 C5 V2-i-EjGkZ8z30.en.vtt | 4.58 KB | ||
| 06. Deployment L4 C5 V2-i-EjGkZ8z30.mp4 | 11.24 MB | ||
| 06. Deployment L4 C5 V2-i-EjGkZ8z30.zh-CN.vtt | 3.62 KB | ||
| 06. Mini-Project Solution - Fixing the Error and Testing.html | 6.74 KB | ||
| 07. Boston Housing In-Depth - Creating a Tuning Job.html | 8.29 KB | ||
| 07. Deployment L4 C6 V2-vlsZ-jC5C8Y.en.vtt | 7.46 KB | ||
| 07. Deployment L4 C6 V2-vlsZ-jC5C8Y.mp4 | 12.48 MB | ||
| 07. Deployment L4 C6 V2-vlsZ-jC5C8Y.zh-CN.vtt | 5.96 KB | ||
| 08. Boston Housing In-Depth - Monitoring the Tuning Job.html | 6.74 KB | ||
| 08. Deployment L4 C7 V1-WXjIkSHYEyM.en.vtt | 1.89 KB | ||
| 08. Deployment L4 C7 V1-WXjIkSHYEyM.mp4 | 2.44 MB | ||
| 08. Deployment L4 C7 V1-WXjIkSHYEyM.zh-CN.vtt | 1.61 KB | ||
| 09. Boston Housing In-Depth - Building and Testing the Model.html | 6.71 KB | ||
| 09. Deployment L4 C8 V1-ap7d7DZL0Ic.en.vtt | 3 KB | ||
| 09. Deployment L4 C8 V1-ap7d7DZL0Ic.mp4 | 6.44 MB | ||
| 09. Deployment L4 C8 V1-ap7d7DZL0Ic.zh-CN.vtt | 2.5 KB | ||
| 10. Summary.html | 7.59 KB | ||
| index.html | 5.22 KB | ||
| Part 03-Module 01-Lesson 05_Updating a Model | |||
| 01. L5 00 Intro V2-7wI168JzBiU.en.vtt | 1.19 KB | ||
| 01. L5 00 Intro V2-7wI168JzBiU.mp4 | 3.13 MB | ||
| 01. L5 00 Intro V2-7wI168JzBiU.zh-CN.vtt | 984 B | ||
| 01. Updating a Model.html | 7.94 KB | ||
| 02. Building a Sentiment Analysis Model (XGBoost).html | 7.48 KB | ||
| 02. Deployment L5 C1 V1-dwRkA0ig3uU.en.vtt | 6.36 KB | ||
| 02. Deployment L5 C1 V1-dwRkA0ig3uU.mp4 | 10.6 MB | ||
| 02. Deployment L5 C1 V1-dwRkA0ig3uU.zh-CN.vtt | 5.16 KB | ||
| 03. Building a Sentiment Analysis Model (Linear Learner).html | 7.76 KB | ||
| 03. Deployment L5 C2 V1-7TdiVF6qS1k.en.vtt | 5.23 KB | ||
| 03. Deployment L5 C2 V1-7TdiVF6qS1k.mp4 | 7.16 MB | ||
| 03. Deployment L5 C2 V1-7TdiVF6qS1k.zh-CN.vtt | 4.22 KB | ||
| 04. Combining the Models.html | 7.53 KB | ||
| 04. Deployment L5 C3 V1-OYYJerDHu0o.en.vtt | 7.58 KB | ||
| 04. Deployment L5 C3 V1-OYYJerDHu0o.mp4 | 13.64 MB | ||
| 04. Deployment L5 C3 V1-OYYJerDHu0o.zh-CN.vtt | 6.21 KB | ||
| 05. Deployment L5 C4 V1-v7dYwxuKXzI.en.vtt | 1.07 KB | ||
| 05. Deployment L5 C4 V1-v7dYwxuKXzI.mp4 | 1.26 MB | ||
| 05. Deployment L5 C4 V1-v7dYwxuKXzI.zh-CN.vtt | 915 B | ||
| 05. Mini-Project Updating a Sentiment Analysis Model.html | 7.48 KB | ||
| 06. Deployment L5 C5 V1-75RxW3R6674.en.vtt | 5.25 KB | ||
| 06. Deployment L5 C5 V1-75RxW3R6674.mp4 | 8.06 MB | ||
| 06. Deployment L5 C5 V1-75RxW3R6674.zh-CN.vtt | 4.42 KB | ||
| 06. Loading and Testing the New Data.html | 6.58 KB | ||
| 07. Deployment L5 C6 V1-sEBK1dmiUfE.en.vtt | 6.27 KB | ||
| 07. Deployment L5 C6 V1-sEBK1dmiUfE.mp4 | 9.69 MB | ||
| 07. Deployment L5 C6 V1-sEBK1dmiUfE.zh-CN.vtt | 5.09 KB | ||
| 07. Exploring the New Data.html | 6.55 KB | ||
| 08. Building a New Model.html | 6.54 KB | ||
| 08. Deployment L5 C7 V1-RUVxrKcWAsU.en.vtt | 9.22 KB | ||
| 08. Deployment L5 C7 V1-RUVxrKcWAsU.mp4 | 14.62 MB | ||
| 08. Deployment L5 C7 V1-RUVxrKcWAsU.zh-CN.vtt | 7.49 KB | ||
| 09. Deployment L5 C8 V1-Vdacqn_w-e4.en.vtt | 4.08 KB | ||
| 09. Deployment L5 C8 V1-Vdacqn_w-e4.mp4 | 3.81 MB | ||
| 09. Deployment L5 C8 V1-Vdacqn_w-e4.zh-CN.vtt | 3.49 KB | ||
| 09. SageMaker Retrospective.html | 8.93 KB | ||
| 10. Cleaning Up Your AWS Account.html | 8.67 KB | ||
| 10. Deployment L5 C9 V1-8z24cb3EfMc.en.vtt | 3.78 KB | ||
| 10. Deployment L5 C9 V1-8z24cb3EfMc.mp4 | 4.43 MB | ||
| 10. Deployment L5 C9 V1-8z24cb3EfMc.zh-CN.vtt | 3.04 KB | ||
| 11. Deployment L5 C10 V1-ilnX9rUlV_w.en.vtt | 6.24 KB | ||
| 11. Deployment L5 C10 V1-ilnX9rUlV_w.mp4 | 8.21 MB | ||
| 11. Deployment L5 C10 V1-ilnX9rUlV_w.zh-CN.vtt | 5.07 KB | ||
| 11. SageMaker Tips and Tricks.html | 7.43 KB | ||
| index.html | 5.11 KB | ||
| Part 03-Module 02-Lesson 01_Project Deploying a Sentiment Analysis Model | |||
| 01. Deploying a Sentiment Analysis Model-LWcJtUKVkzo.en.vtt | 2.6 KB | ||
| 01. Deploying a Sentiment Analysis Model-LWcJtUKVkzo.mp4 | 4.18 MB | ||
| 01. Deploying a Sentiment Analysis Model-LWcJtUKVkzo.zh-CN.vtt | 2.04 KB | ||
| 01. Deployment Project.html | 5.96 KB | ||
| 02. Setting up a Notebook Instance.html | 9.42 KB | ||
| 03. SageMaker Instance Utilization Limits.html | 14.83 KB | ||
| Project Description - Deploy a Sentiment Analysis Model.html | 8.02 KB | ||
| Project Rubric - Deploy a Sentiment Analysis Model.html | 11.64 KB | ||
| img.zip | 661.96 KB | ||
| index.html | 4.66 KB | ||
| Part 04-Module 01-Lesson 01_Population Segmentation | |||
| 01. 01 HS Intro Dan And Cezanne V2-2K8KFEUxNbw.en.vtt | 1.66 KB | ||
| 01. 01 HS Intro Dan And Cezanne V2-2K8KFEUxNbw.mp4 | 6 MB | ||
| 01. 01 HS Intro Dan And Cezanne V2-2K8KFEUxNbw.zh-CN.vtt | 1.46 KB | ||
| 01. Introducing Cezanne _ Dan.html | 9.16 KB | ||
| 02. 01 What Is Amazon Sagemaker-JWRtWcd92E4.en.vtt | 4.14 KB | ||
| 02. 01 What Is Amazon Sagemaker-JWRtWcd92E4.mp4 | 17.48 MB | ||
| 02. 01 What Is Amazon Sagemaker-JWRtWcd92E4.zh-CN.vtt | 3.46 KB | ||
| 02. 02 What Applications Are Enabled By Amazon-iXN30g70PJ0.en.vtt | 2.95 KB | ||
| 02. 02 What Applications Are Enabled By Amazon-iXN30g70PJ0.mp4 | 13.55 MB | ||
| 02. 02 What Applications Are Enabled By Amazon-iXN30g70PJ0.zh-CN.vtt | 2.21 KB | ||
| 02. 03 Why Should Students Gain Skills In Sagemaker And Cloud Services-Hp6qTdiqU3g.en.vtt | 6.29 KB | ||
| 02. 03 Why Should Students Gain Skills In Sagemaker And Cloud Services-Hp6qTdiqU3g.mp4 | 41.22 MB | ||
| 02. 03 Why Should Students Gain Skills In Sagemaker And Cloud Services-Hp6qTdiqU3g.zh-CN.vtt | 4.97 KB | ||
| 02. Interview Segment What is SageMaker and Why Learn It.html | 11.26 KB | ||
| 03. Course Outline, Case Studies.html | 12.45 KB | ||
| 04. L1 031 Unsupervised Vs Supervised Learning V1 RENDER V2-9M6T9Bx3oNA.en.vtt | 3.74 KB | ||
| 04. L1 031 Unsupervised Vs Supervised Learning V1 RENDER V2-9M6T9Bx3oNA.mp4 | 8.01 MB | ||
| 04. L1 031 Unsupervised Vs Supervised Learning V1 RENDER V2-9M6T9Bx3oNA.zh-CN.vtt | 3.08 KB | ||
| 04. Unsupervised v Supervised Learning.html | 8.79 KB | ||
| 05. L1 032 Model Design V1 RENDER V2-zxNoSTZ3s90.en.vtt | 2.79 KB | ||
| 05. L1 032 Model Design V1 RENDER V2-zxNoSTZ3s90.mp4 | 10.22 MB | ||
| 05. L1 032 Model Design V1 RENDER V2-zxNoSTZ3s90.zh-CN.vtt | 2.4 KB | ||
| 05. Model Design.html | 8.65 KB | ||
| 06. L1C05 HSV2 Population Segmentation With KMeans V1-3pXFLrnk7q0.en.vtt | 2.65 KB | ||
| 06. L1C05 HSV2 Population Segmentation With KMeans V1-3pXFLrnk7q0.mp4 | 8.04 MB | ||
| 06. L1C05 HSV2 Population Segmentation With KMeans V1-3pXFLrnk7q0.zh-CN.vtt | 2.23 KB | ||
| 06. Population Segmentation.html | 8.74 KB | ||
| 07. K-means Clustering-Cf_LSDCEBzk.en.vtt | 6.44 KB | ||
| 07. K-means Clustering-Cf_LSDCEBzk.mp4 | 6.06 MB | ||
| 07. K-means Clustering-Cf_LSDCEBzk.zh-CN.vtt | 5.84 KB | ||
| 07. K-means, Overview.html | 11.06 KB | ||
| 08. Creating a Notebook Instance.html | 9.92 KB | ||
| 08. L1C3 Creating A Notebook Instance V2-w2GBAnhUlOw.en.vtt | 7.26 KB | ||
| 08. L1C3 Creating A Notebook Instance V2-w2GBAnhUlOw.mp4 | 8.84 MB | ||
| 08. L1C3 Creating A Notebook Instance V2-w2GBAnhUlOw.zh-CN.vtt | 6.42 KB | ||
| 09. Create a SageMaker Notebook Instance.html | 10.73 KB | ||
| 10. Pre-Notebook Population Segmentation.html | 10.57 KB | ||
| 11. Exercise Data Loading _ Processing.html | 8.73 KB | ||
| 11. L1C4 DataLoading Processing 2 V2-YlG9T17KcbU.en.vtt | 10.89 KB | ||
| 11. L1C4 DataLoading Processing 2 V2-YlG9T17KcbU.mp4 | 26.27 MB | ||
| 11. L1C4 DataLoading Processing 2 V2-YlG9T17KcbU.zh-CN.vtt | 9.36 KB | ||
| 12. L1C5 Data PreProcessing Solution-2jUouM70A1I.en.vtt | 8.07 KB | ||
| 12. L1C5 Data PreProcessing Solution-2jUouM70A1I.mp4 | 11.98 MB | ||
| 12. L1C5 Data PreProcessing Solution-2jUouM70A1I.zh-CN.vtt | 6.77 KB | ||
| 12. Solution Data Pre-Processing.html | 8.69 KB | ||
| 13. Exercise Normalization.html | 9.96 KB | ||
| 14. L1C7 Normalization Solution V3-UDWwdG4e1a0.en.vtt | 3.01 KB | ||
| 14. L1C7 Normalization Solution V3-UDWwdG4e1a0.mp4 | 3.4 MB | ||
| 14. L1C7 Normalization Solution V3-UDWwdG4e1a0.zh-CN.vtt | 2.5 KB | ||
| 14. Solution Normalization.html | 8.66 KB | ||
| 15. PCA Toy Problem SC V1-uyl44T12yU8.en.vtt | 9.88 KB | ||
| 15. PCA Toy Problem SC V1-uyl44T12yU8.mp4 | 15.15 MB | ||
| 15. PCA Toy Problem SC V1-uyl44T12yU8.zh-CN.vtt | 8.1 KB | ||
| 15. PCA, Overview.html | 10.12 KB | ||
| 16. L1C8 PCA Estimator V2-HGEqgi2MKcU.en.vtt | 12.25 KB | ||
| 16. L1C8 PCA Estimator V2-HGEqgi2MKcU.mp4 | 19.78 MB | ||
| 16. L1C8 PCA Estimator V2-HGEqgi2MKcU.zh-CN.vtt | 10.65 KB | ||
| 16. PCA Estimator _ Training.html | 8.67 KB | ||
| 17. Exercise PCA Model Attributes _ Variance.html | 8.73 KB | ||
| 17. L1C9 PCA Attributes Variance V3-dumVafbS7pk.en.vtt | 10.38 KB | ||
| 17. L1C9 PCA Attributes Variance V3-dumVafbS7pk.mp4 | 16.38 MB | ||
| 17. L1C9 PCA Attributes Variance V3-dumVafbS7pk.zh-CN.vtt | 8.67 KB | ||
| 18. L1C10 Variance Solution V3-C-BRBjxlUuE.en.vtt | 4.44 KB | ||
| 18. L1C10 Variance Solution V3-C-BRBjxlUuE.mp4 | 6.95 MB | ||
| 18. L1C10 Variance Solution V3-C-BRBjxlUuE.zh-CN.vtt | 3.62 KB | ||
| 18. Solution Variance.html | 8.63 KB | ||
| 19. Component Makeup.html | 8.66 KB | ||
| 19. L1C11 Component Makeup V2-fiSr_Xjm3qI.en.vtt | 5.93 KB | ||
| 19. L1C11 Component Makeup V2-fiSr_Xjm3qI.mp4 | 8.27 MB | ||
| 19. L1C11 Component Makeup V2-fiSr_Xjm3qI.zh-CN.vtt | 4.88 KB | ||
| 20. Exercise PCA Deployment _ Data Transformation.html | 9 KB | ||
| 20. L1C12 PCA Deployment V1-qsnpHHuwbbA.en.vtt | 4.89 KB | ||
| 20. L1C12 PCA Deployment V1-qsnpHHuwbbA.mp4 | 8.02 MB | ||
| 20. L1C12 PCA Deployment V1-qsnpHHuwbbA.zh-CN.vtt | 4.31 KB | ||
| 21. L1C13 Creating New Data Solution V4-4l2UHyyVV7Y.en.vtt | 6.68 KB | ||
| 21. L1C13 Creating New Data Solution V4-4l2UHyyVV7Y.mp4 | 11.83 MB | ||
| 21. L1C13 Creating New Data Solution V4-4l2UHyyVV7Y.zh-CN.vtt | 5.61 KB | ||
| 21. Solution Creating Transformed Data.html | 8.75 KB | ||
| 22. Exercise K-means Estimator _ Selecting K.html | 13.93 KB | ||
| 23. Exercise K-means Predictions (clusters).html | 9.74 KB | ||
| 24. L1C15 Kmeans Solutioni V2-0xx2p2vnCg0.en.vtt | 8.39 KB | ||
| 24. L1C15 Kmeans Solutioni V2-0xx2p2vnCg0.mp4 | 13.02 MB | ||
| 24. L1C15 Kmeans Solutioni V2-0xx2p2vnCg0.zh-CN.vtt | 7.09 KB | ||
| 24. Solution K-means Predictor.html | 8.67 KB | ||
| 25. Exercise Get the Model Attributes.html | 10.55 KB | ||
| 26. L1C17 Model Attributes Conclusions V2-VS-hVhsCBPw.en.vtt | 7.43 KB | ||
| 26. L1C17 Model Attributes Conclusions V2-VS-hVhsCBPw.mp4 | 18.66 MB | ||
| 26. L1C17 Model Attributes Conclusions V2-VS-hVhsCBPw.zh-CN.vtt | 6.43 KB | ||
| 26. Solution Model Attributes.html | 8.71 KB | ||
| 27. Clean Up All Resources.html | 12.82 KB | ||
| 28. AWS Workflow _ Summary.html | 8.61 KB | ||
| 28. L1 06 AWS Workflow _ Summary V1 RENDER V3-vMLN832942E.en.vtt | 3.49 KB | ||
| 28. L1 06 AWS Workflow _ Summary V1 RENDER V3-vMLN832942E.mp4 | 6.92 MB | ||
| 28. L1 06 AWS Workflow _ Summary V1 RENDER V3-vMLN832942E.zh-CN.vtt | 3.03 KB | ||
| img.zip | 1.91 MB | ||
| index.html | 6.78 KB | ||
| Part 04-Module 01-Lesson 02_Payment Fraud Detection | |||
| 01. Fraud Detection.html | 7.69 KB | ||
| 01. L2 01 Fraud Detection V1 RENDER V2-zDnyR5Tci5M.en.vtt | 2.73 KB | ||
| 01. L2 01 Fraud Detection V1 RENDER V2-zDnyR5Tci5M.mp4 | 12.37 MB | ||
| 01. L2 01 Fraud Detection V1 RENDER V2-zDnyR5Tci5M.zh-CN.vtt | 2.31 KB | ||
| 02. Pre-Notebook Payment Fraud Detection.html | 9.69 KB | ||
| 03. 01 Transaction Data V1-bF65I3J6aqQ.en.vtt | 5.5 KB | ||
| 03. 01 Transaction Data V1-bF65I3J6aqQ.mp4 | 15.11 MB | ||
| 03. 01 Transaction Data V1-bF65I3J6aqQ.zh-CN.vtt | 4.72 KB | ||
| 03. Exercise Payment Transaction Data.html | 7.7 KB | ||
| 04. 02 Data Splitting Dist Solution V1-Cjn82LqTB00.en.vtt | 5.41 KB | ||
| 04. 02 Data Splitting Dist Solution V1-Cjn82LqTB00.mp4 | 12.4 MB | ||
| 04. 02 Data Splitting Dist Solution V1-Cjn82LqTB00.zh-CN.vtt | 4.55 KB | ||
| 04. Solution Data Distribution _ Splitting.html | 7.76 KB | ||
| 05. 03 LinearLearner V1-pjs5pP9OOMc.en.vtt | 3.35 KB | ||
| 05. 03 LinearLearner V1-pjs5pP9OOMc.mp4 | 5.73 MB | ||
| 05. 03 LinearLearner V1-pjs5pP9OOMc.zh-CN.vtt | 2.91 KB | ||
| 05. LinearLearner _ Class Imbalance.html | 7.68 KB | ||
| 06. Exercise Define a LinearLearner.html | 8.89 KB | ||
| 07. 05 Default LinearLearner V2-WaqDbA_5dNE.en.vtt | 3.1 KB | ||
| 07. 05 Default LinearLearner V2-WaqDbA_5dNE.mp4 | 4.87 MB | ||
| 07. 05 Default LinearLearner V2-WaqDbA_5dNE.zh-CN.vtt | 2.59 KB | ||
| 07. Solution Default LinearLearner.html | 7.72 KB | ||
| 08. Exercise Format Data _ Train the LinearLearner.html | 8.42 KB | ||
| 09. 091 Training Job V1--whnaHFkPxU.en.vtt | 5.44 KB | ||
| 09. 091 Training Job V1--whnaHFkPxU.mp4 | 15.89 MB | ||
| 09. 091 Training Job V1--whnaHFkPxU.zh-CN.vtt | 4.63 KB | ||
| 09. Solution Training Job.html | 7.65 KB | ||
| 10. Precision _ Recall, Overview.html | 8.6 KB | ||
| 11. Exercise Deploy Estimator.html | 9.12 KB | ||
| 12. 092 Deployment Evaluation V1-ZknaWInjSa4.en.vtt | 6.59 KB | ||
| 12. 092 Deployment Evaluation V1-ZknaWInjSa4.mp4 | 14.95 MB | ||
| 12. 092 Deployment Evaluation V1-ZknaWInjSa4.zh-CN.vtt | 5.58 KB | ||
| 12. Solution Deployment _ Evaluation.html | 7.71 KB | ||
| 13. 10 Model Improvements V1-JjZMuUnxKw4.en.vtt | 2.62 KB | ||
| 13. 10 Model Improvements V1-JjZMuUnxKw4.mp4 | 3.48 MB | ||
| 13. 10 Model Improvements V1-JjZMuUnxKw4.zh-CN.vtt | 2.33 KB | ||
| 13. Model Improvements.html | 7.65 KB | ||
| 14. 11 Model Tuning V1-bb7zG0TdtRM.en.vtt | 4.51 KB | ||
| 14. 11 Model Tuning V1-bb7zG0TdtRM.mp4 | 11.36 MB | ||
| 14. 11 Model Tuning V1-bb7zG0TdtRM.zh-CN.vtt | 3.79 KB | ||
| 14. Improvement, Model Tuning.html | 7.66 KB | ||
| 15. Exercise Improvement, Class Imbalance.html | 10.53 KB | ||
| 16. 13 Class Balancing Solution V1-ncoPZdiVLJg.en.vtt | 3.29 KB | ||
| 16. 13 Class Balancing Solution V1-ncoPZdiVLJg.mp4 | 7.25 MB | ||
| 16. 13 Class Balancing Solution V1-ncoPZdiVLJg.zh-CN.vtt | 2.91 KB | ||
| 16. Solution Accounting for Class Imbalance.html | 7.75 KB | ||
| 17. Exercise Define a Model w Specifications.html | 10.08 KB | ||
| 18. One Solution Tuned and Balanced LinearLearner.html | 10.89 KB | ||
| 19. L2 03 Summary _ Improvements V2-VsjDz3agnhQ.en.vtt | 1.46 KB | ||
| 19. L2 03 Summary _ Improvements V2-VsjDz3agnhQ.mp4 | 5.14 MB | ||
| 19. L2 03 Summary _ Improvements V2-VsjDz3agnhQ.zh-CN.vtt | 1.28 KB | ||
| 19. Summary and Improvements.html | 7.58 KB | ||
| img.zip | 65.8 KB | ||
| index.html | 6.01 KB | ||
| Part 04-Module 01-Lesson 03_Interview Segment SageMaker as a Tool _ the Future of ML | |||
| 01. 04 How Does Amazon Decide Which Features To Work On-KYG_LWDhg4I.en.vtt | 7.88 KB | ||
| 01. 04 How Does Amazon Decide Which Features To Work On-KYG_LWDhg4I.mp4 | 60.52 MB | ||
| 01. 04 How Does Amazon Decide Which Features To Work On-KYG_LWDhg4I.zh-CN.vtt | 6.55 KB | ||
| 01. 05 Can You Explain The Idea Behind The GitHub Respository-Hk9ChDtv_nQ.en.vtt | 8.57 KB | ||
| 01. 05 Can You Explain The Idea Behind The GitHub Respository-Hk9ChDtv_nQ.mp4 | 64.46 MB | ||
| 01. 05 Can You Explain The Idea Behind The GitHub Respository-Hk9ChDtv_nQ.zh-CN.vtt | 6.91 KB | ||
| 01. 06 Does Sagemaker Work With Certain Products Or Use Cases-9HSJp_i9LFw.en.vtt | 4.04 KB | ||
| 01. 06 Does Sagemaker Work With Certain Products Or Use Cases-9HSJp_i9LFw.mp4 | 40.97 MB | ||
| 01. 06 Does Sagemaker Work With Certain Products Or Use Cases-9HSJp_i9LFw.zh-CN.vtt | 3.4 KB | ||
| 01. Interview Segment Developing SageMaker.html | 8.19 KB | ||
| 02. 07 How Do You Label Data At Scale-G_E5N6k2knA.en.vtt | 3.92 KB | ||
| 02. 07 How Do You Label Data At Scale-G_E5N6k2knA.mp4 | 35.77 MB | ||
| 02. 07 How Do You Label Data At Scale-G_E5N6k2knA.zh-CN.vtt | 3.09 KB | ||
| 02. 08 What_S Your Prediction Of What Sagemaker Will Prioritize In The Next 1-2 Years-git73JsQC1Y.en.vtt | 8.98 KB | ||
| 02. 08 What_S Your Prediction Of What Sagemaker Will Prioritize In The Next 1-2 Years-git73JsQC1Y.mp4 | 71.01 MB | ||
| 02. 08 What_S Your Prediction Of What Sagemaker Will Prioritize In The Next 1-2 Years-git73JsQC1Y.zh-CN.vtt | 7.27 KB | ||
| 02. Interview Segment New Features.html | 6.93 KB | ||
| 03. 09 Do You Have Advice For Someone Who Wants To Learn More-Wgq4eukacqE.en.vtt | 4.45 KB | ||
| 03. 09 Do You Have Advice For Someone Who Wants To Learn More-Wgq4eukacqE.mp4 | 44.8 MB | ||
| 03. 09 Do You Have Advice For Someone Who Wants To Learn More-Wgq4eukacqE.zh-CN.vtt | 3.44 KB | ||
| 03. Interview Segment Further Learning.html | 5.93 KB | ||
| index.html | 4.47 KB | ||
| Part 04-Module 01-Lesson 04_Deploying Custom Models | |||
| 01. Pre-Notebook Custom Models _ Moon Data.html | 9.71 KB | ||
| 02. 18 Moon Data Custom Model V1-vb5ojq8Jw7k.en.vtt | 7.45 KB | ||
| 02. 18 Moon Data Custom Model V1-vb5ojq8Jw7k.mp4 | 14.97 MB | ||
| 02. 18 Moon Data Custom Model V1-vb5ojq8Jw7k.zh-CN.vtt | 6.19 KB | ||
| 02. Moon Data _ Custom Models.html | 6.81 KB | ||
| 03. 19 Uploading To S3 V1-Mz08Bac6h2Y.en.vtt | 3.13 KB | ||
| 03. 19 Uploading To S3 V1-Mz08Bac6h2Y.mp4 | 6.99 MB | ||
| 03. 19 Uploading To S3 V1-Mz08Bac6h2Y.zh-CN.vtt | 2.63 KB | ||
| 03. Upload Data to S3.html | 6.77 KB | ||
| 04. 20 Custom PyTorch Model V1-kiZ22MJWSFU.en.vtt | 3.24 KB | ||
| 04. 20 Custom PyTorch Model V1-kiZ22MJWSFU.mp4 | 6.64 MB | ||
| 04. 20 Custom PyTorch Model V1-kiZ22MJWSFU.zh-CN.vtt | 2.84 KB | ||
| 04. Exercise Custom PyTorch Classifier.html | 6.84 KB | ||
| 05. 22 Simple NN V1-FINTJpz1Yx0.en.vtt | 2.78 KB | ||
| 05. 22 Simple NN V1-FINTJpz1Yx0.mp4 | 4.98 MB | ||
| 05. 22 Simple NN V1-FINTJpz1Yx0.zh-CN.vtt | 2.34 KB | ||
| 05. Solution Simple Neural Network.html | 6.78 KB | ||
| 06. 23 Train Script V2-1cbvRmKvQIg.en.vtt | 8.56 KB | ||
| 06. 23 Train Script V2-1cbvRmKvQIg.mp4 | 19.45 MB | ||
| 06. 23 Train Script V2-1cbvRmKvQIg.zh-CN.vtt | 7.42 KB | ||
| 06. Exercise Training Script.html | 6.78 KB | ||
| 07. 24 Complete Training Script V1-xmrB3sqbeTU.en.vtt | 4.16 KB | ||
| 07. 24 Complete Training Script V1-xmrB3sqbeTU.mp4 | 8.61 MB | ||
| 07. 24 Complete Training Script V1-xmrB3sqbeTU.zh-CN.vtt | 3.49 KB | ||
| 07. Solution Complete Training Script.html | 6.84 KB | ||
| 08. Custom SKLearn Model.html | 7.45 KB | ||
| 09. 26 PyTorch Estimator Model V1-pJOkQfMtxpc.en.vtt | 7.18 KB | ||
| 09. 26 PyTorch Estimator Model V1-pJOkQfMtxpc.mp4 | 16.68 MB | ||
| 09. 26 PyTorch Estimator Model V1-pJOkQfMtxpc.zh-CN.vtt | 6.2 KB | ||
| 09. PyTorch Estimator.html | 6.81 KB | ||
| 10. Exercise Create a PyTorchModel _ Endpoint.html | 9.5 KB | ||
| 11. 28 PyTorch Deployment Evaluation V2-qZTyQqo9FWM.en.vtt | 5.12 KB | ||
| 11. 28 PyTorch Deployment Evaluation V2-qZTyQqo9FWM.mp4 | 13.28 MB | ||
| 11. 28 PyTorch Deployment Evaluation V2-qZTyQqo9FWM.zh-CN.vtt | 4.42 KB | ||
| 11. Solution PyTorchModel _ Evaluation.html | 6.87 KB | ||
| 12. Clean Up All Resources.html | 10.95 KB | ||
| 13. Summary of Skills.html | 7.94 KB | ||
| img.zip | 2.55 MB | ||
| index.html | 5.29 KB | ||
| Part 04-Module 01-Lesson 05_Time-Series Forecasting | |||
| 01. L3 03 Time Series Forecasting-U8k2Fl2zgJ8.en.vtt | 3 KB | ||
| 01. L3 03 Time Series Forecasting-U8k2Fl2zgJ8.mp4 | 5.66 MB | ||
| 01. Time-Series Forecasting.html | 6.86 KB | ||
| 02. 01 Time Series Notebook V2-OZJu6or8Fl0.en.vtt | 5.49 KB | ||
| 02. 01 Time Series Notebook V2-OZJu6or8Fl0.mp4 | 9.75 MB | ||
| 02. Forecasting Energy Consumption, Notebook.html | 6.9 KB | ||
| 03. Pre-Notebook Time-Series Forecasting.html | 9.21 KB | ||
| 04. 02 Processing Energy Data V2-zxnoYK4sYgk.en.vtt | 6.06 KB | ||
| 04. 02 Processing Energy Data V2-zxnoYK4sYgk.mp4 | 14.69 MB | ||
| 04. Processing Energy Data.html | 6.84 KB | ||
| 05. 03 Creating Time Series V2-KMzVAmoa66k.en.vtt | 5.29 KB | ||
| 05. 03 Creating Time Series V2-KMzVAmoa66k.mp4 | 10.52 MB | ||
| 05. Exercise Creating Time Series.html | 6.85 KB | ||
| 06. Solution Split Data.html | 8.98 KB | ||
| 07. 05 Convert To JSON V2-YyxfrVQcM1E.en.vtt | 2.87 KB | ||
| 07. 05 Convert To JSON V2-YyxfrVQcM1E.mp4 | 6.66 MB | ||
| 07. Exercise Convert to JSON.html | 6.85 KB | ||
| 08. 07 DeepAR Estimator V2-1Wx-LK9TVWY.en.vtt | 2.2 KB | ||
| 08. 07 DeepAR Estimator V2-1Wx-LK9TVWY.mp4 | 3.45 MB | ||
| 08. Solution Formatting JSON Lines _ DeepAR Estimator.html | 6.91 KB | ||
| 09. Exercise DeepAR Estimator.html | 8.05 KB | ||
| 10. 08 Complete Estimator Hyperparams V2-ah7muNBc3dI.en.vtt | 2.77 KB | ||
| 10. 08 Complete Estimator Hyperparams V2-ah7muNBc3dI.mp4 | 5.99 MB | ||
| 10. Solution Complete Estimator _ Hyperparameters.html | 6.93 KB | ||
| 11. 11 Making Predictions V2-BKOYIfgjsq8.en.vtt | 5.96 KB | ||
| 11. 11 Making Predictions V2-BKOYIfgjsq8.mp4 | 14.11 MB | ||
| 11. Making Predictions.html | 6.82 KB | ||
| 12. Exercise Predicting the Future.html | 8.68 KB | ||
| 13. 13 Predicting Future Data V2-HT5xKDOgHYw.en.vtt | 2.89 KB | ||
| 13. 13 Predicting Future Data V2-HT5xKDOgHYw.mp4 | 5.38 MB | ||
| 13. Solution Predicting Future Data.html | 6.87 KB | ||
| 14. Clean Up All Resources.html | 11.01 KB | ||
| img.zip | 2.34 MB | ||
| index.html | 5.43 KB | ||
| Part 04-Module 02-Lesson 01_Project | |||
| 01. Project Overview.html | 8.24 KB | ||
| 02. Containment.html | 7.24 KB | ||
| 02. L4 03 Containment V1 V4-FwmT_7fICn0.en.vtt | 4.12 KB | ||
| 02. L4 03 Containment V1 V4-FwmT_7fICn0.mp4 | 6.37 MB | ||
| 02. L4 03 Containment V1 V4-FwmT_7fICn0.zh-CN.vtt | 3.45 KB | ||
| 03. Notebook Calculate Containment.html | 6.76 KB | ||
| 04. L4 04 Longest Common Subsequence V1 V1-yxXXwBKeYvU.en.vtt | 2.63 KB | ||
| 04. L4 04 Longest Common Subsequence V1 V1-yxXXwBKeYvU.mp4 | 4.55 MB | ||
| 04. L4 04 Longest Common Subsequence V1 V1-yxXXwBKeYvU.zh-CN.vtt | 2.29 KB | ||
| 04. Longest Common Subsequence.html | 6.29 KB | ||
| 05. Dynamic Programming.html | 6.26 KB | ||
| 05. L4 05 Dynamic Programming V1 V1-vAwu-sW9GJE.en.vtt | 6.36 KB | ||
| 05. L4 05 Dynamic Programming V1 V1-vAwu-sW9GJE.mp4 | 7.14 MB | ||
| 05. L4 05 Dynamic Programming V1 V1-vAwu-sW9GJE.zh-CN.vtt | 5.55 KB | ||
| 06. Project Files _ Evaluation.html | 8.88 KB | ||
| 07. Notebook Exploring the Data.html | 6.62 KB | ||
| Project Description - Plagiarism Detector.html | 9 KB | ||
| Project Rubric - Plagiarism Detector.html | 14.97 KB | ||
| img.zip | 24.28 KB | ||
| index.html | 4.8 KB | ||
| Part 04-Module 03-Lesson 01_Get Quick Feedback on Your GitHub Profile | |||
| 01. Prove Your Skills With GitHub.html | 11.15 KB | ||
| 02. Introduction-Vnj2VNQROtI.ar.vtt | 2.28 KB | ||
| 02. Introduction-Vnj2VNQROtI.en.vtt | 1.58 KB | ||
| 02. Introduction-Vnj2VNQROtI.ja-JP.vtt | 1.97 KB | ||
| 02. Introduction-Vnj2VNQROtI.mp4 | 5.46 MB | ||
| 02. Introduction-Vnj2VNQROtI.pt-BR.vtt | 1.79 KB | ||
| 02. Introduction-Vnj2VNQROtI.zh-CN.vtt | 1.62 KB | ||
| 02. Introduction.html | 8.06 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.ar.vtt | 3.93 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.en.vtt | 2.93 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.ja-JP.vtt | 3.28 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.mp4 | 4.91 MB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt | 3.14 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt | 2.65 KB | ||
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| 05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt | 4.59 KB | ||
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| 05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 | 21.79 MB | ||
| 05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt | 4 KB | ||
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| 05. Interview with Art - Part 1.html | 7.95 KB | ||
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt | 490 B | ||
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt | 371 B | ||
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| 06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 | 1.14 MB | ||
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| 06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt | 357 B | ||
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| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt | 1.31 KB | ||
| 06. Identify fixes for example “bad” profile.html | 11.01 KB | ||
| 07. Quick Fixes #1.html | 7.77 KB | ||
| 07. Quick Fixes-Lb9e2KemR6I.ar.vtt | 2.61 KB | ||
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| 08. Quick Fixes #2-It6AEuSDQw0.ar.vtt | 608 B | ||
| 08. Quick Fixes #2-It6AEuSDQw0.en.vtt | 435 B | ||
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| 08. Quick Fixes #2-It6AEuSDQw0.mp4 | 2.25 MB | ||
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| 08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt | 410 B | ||
| 08. Quick Fixes #2.html | 8.75 KB | ||
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt | 1.5 KB | ||
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| 09. Writing READMEs with Walter.html | 8.2 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt | 2.82 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt | 2.16 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.ja-JP.vtt | 2.53 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 | 13.17 MB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt | 2.4 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt | 2.07 KB | ||
| 10. Interview with Art - Part 2.html | 7.93 KB | ||
| 11. Commit messages best practices.html | 10.12 KB | ||
| 12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt | 678 B | ||
| 12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt | 501 B | ||
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| 12. Reflect on your commit messages-_0AHmKkfjTo.mp4 | 3.03 MB | ||
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| 12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt | 473 B | ||
| 12. Reflect on your commit messages.html | 8.55 KB | ||
| 13. Participating in open source projects-OxL-gMTizUA.ar.vtt | 768 B | ||
| 13. Participating in open source projects-OxL-gMTizUA.en.vtt | 476 B | ||
| 13. Participating in open source projects-OxL-gMTizUA.ja-JP.vtt | 599 B | ||
| 13. Participating in open source projects-OxL-gMTizUA.mp4 | 2.77 MB | ||
| 13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt | 551 B | ||
| 13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt | 438 B | ||
| 13. Participating in open source projects.html | 8.32 KB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt | 5.33 KB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt | 4.1 KB | ||
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| 14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 | 25.04 MB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt | 4.56 KB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt | 3.67 KB | ||
| 14. Interview with Art - Part 3.html | 7.94 KB | ||
| 15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt | 2.16 KB | ||
| 15. Participating in open source projects 2-elZCLxVvJrY.en.vtt | 1.46 KB | ||
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| 15. Participating in open source projects 2-elZCLxVvJrY.mp4 | 3.3 MB | ||
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| 15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt | 1.3 KB | ||
| 15. Participating in open source projects 2.html | 8.05 KB | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt | 542 B | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.en.vtt | 419 B | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.ja-JP.vtt | 492 B | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.mp4 | 2.45 MB | ||
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| 16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt | 392 B | ||
| 16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt | 812 B | ||
| 16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt | 634 B | ||
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| 16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 | 1.47 MB | ||
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| 16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt | 556 B | ||
| 16. Starring interesting repositories.html | 9.46 KB | ||
| 17. Next Steps.html | 8.08 KB | ||
| Project Description - Optimize Your GitHub Profile.html | 10.03 KB | ||
| Project Rubric - Optimize Your GitHub Profile.html | 9.89 KB | ||
| img.zip | 2.3 MB | ||
| index.html | 5.91 KB | ||
| Part 04-Module 04-Lesson 01_Take 30 Min to Improve your LinkedIn | |||
| 01. Get Opportunities with LinkedIn.html | 11.21 KB | ||
| 01. Why Network-exjEm9Paszk.ar.vtt | 5.14 KB | ||
| 01. Why Network-exjEm9Paszk.en.vtt | 3.4 KB | ||
| 01. Why Network-exjEm9Paszk.es-MX.vtt | 3.2 KB | ||
| 01. Why Network-exjEm9Paszk.ja-JP.vtt | 4.33 KB | ||
| 01. Why Network-exjEm9Paszk.mp4 | 17.37 MB | ||
| 01. Why Network-exjEm9Paszk.pt-BR.vtt | 3.2 KB | ||
| 01. Why Network-exjEm9Paszk.zh-CN.vtt | 3.29 KB | ||
| 02. Meet Chris-0ccflD9x5WU.ar.vtt | 6.32 KB | ||
| 02. Meet Chris-0ccflD9x5WU.en.vtt | 4.89 KB | ||
| 02. Meet Chris-0ccflD9x5WU.es-MX.vtt | 4.52 KB | ||
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| 02. Meet Chris-0ccflD9x5WU.mp4 | 32.54 MB | ||
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| 02. Meet Chris-0ccflD9x5WU.zh-CN.vtt | 4.41 KB | ||
| 02. Use Your Story to Stand Out.html | 8.75 KB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt | 5.13 KB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.en.vtt | 3.53 KB | ||
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| 03. Elevator Pitch-S-nAHPrkQrQ.mp4 | 20.63 MB | ||
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| 03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt | 3.4 KB | ||
| 03. Why Use an Elevator Pitch.html | 7.37 KB | ||
| 04. Create Your Elevator Pitch.html | 8.52 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.ar.vtt | 2.28 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.en.vtt | 2.06 KB | ||
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| 04. Elevator Pitch-0QtgTG49E9I.mp4 | 9.98 MB | ||
| 04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt | 1.94 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt | 1.99 KB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt | 2.19 KB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt | 1.94 KB | ||
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| 04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 | 8.93 MB | ||
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| 04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt | 1.74 KB | ||
| 05. Use Your Elevator Pitch on LinkedIn.html | 9.77 KB | ||
| 06. Create Your Profile With SEO In Mind.html | 9.47 KB | ||
| 07. Profile Essentials.html | 11.27 KB | ||
| 08. Work Experiences _ Accomplishments.html | 9.8 KB | ||
| 09. Build and Strengthen Your Network.html | 10.65 KB | ||
| 10. Reaching Out on LinkedIn.html | 9.36 KB | ||
| 11. Boost Your Visibility.html | 8.58 KB | ||
| 12. Up Next.html | 8.09 KB | ||
| Project Description - Improve Your LinkedIn Profile.html | 8.14 KB | ||
| Project Rubric - Improve Your LinkedIn Profile.html | 16.33 KB | ||
| img.zip | 3.39 MB | ||
| index.html | 5.44 KB | ||
| media.zip | 113.31 KB | ||
| Part 05-Module 01-Lesson 01_Machine Learning Engineer Capstone Project | |||
| 01. Project Overview.html | 8.72 KB | ||
| 02. Software _ Data Requirements.html | 8.72 KB | ||
| 03. Possible Projects.html | 9.54 KB | ||
| 04. Arvato Final Project-qBR6A0IQXEE.en.vtt | 5.37 KB | ||
| 04. Arvato Final Project-qBR6A0IQXEE.mp4 | 26.44 MB | ||
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| 04. Arvato Final Project-qBR6A0IQXEE.zh-CN.vtt | 4.86 KB | ||
| 04. BertelsmannArvato Project Overview.html | 8.82 KB | ||
| 05. Arvato Terms and Conditions.html | 8.84 KB | ||
| 06. BertelsmannArvato Project Workspace.html | 7.05 KB | ||
| 07. Capstone-bq-H7M5BU3U.en.vtt | 1.59 KB | ||
| 07. Capstone-bq-H7M5BU3U.mp4 | 7.2 MB | ||
| 07. Capstone-bq-H7M5BU3U.zh-CN.vtt | 1.37 KB | ||
| 07. Starbucks Project Overview.html | 9.29 KB | ||
| 08. Starbucks Project Workspace.html | 7.03 KB | ||
| 09. CNN Project Dog Breed Classifier.html | 9.12 KB | ||
| 10. Dog Project Workspace.html | 7 KB | ||
| 11. Selecting One Project.html | 7.5 KB | ||
| img.zip | 122.8 KB | ||
| index.html | 5.1 KB | ||
| Part 05-Module 01-Lesson 02_Writing up a Capstone Proposal | |||
| 01. Capstone Proposal.html | 5.18 KB | ||
| Project Description - Capstone Proposal.html | 9.26 KB | ||
| Project Rubric - Capstone Proposal.html | 8.94 KB | ||
| index.html | 4.34 KB | ||
| Part 05-Module 01-Lesson 03_Machine Learning Capstone | |||
| 01. Capstone project.html | 5.16 KB | ||
| Project Description - Capstone Project.html | 10.34 KB | ||
| Project Rubric - Capstone Project.html | 10.29 KB | ||
| index.html | 4.32 KB | ||
| Part 06-Module 01-Lesson 01_Congratulations! | |||
| 01. Congratulations!.html | 6.05 KB | ||
| img.zip | 4.51 MB | ||
| index.html | 4.09 KB | ||
| Part 07-Module 01-Lesson 01_Introduction to NLP | |||
| 01. NLP and Pipelines.html | 6.45 KB | ||
| 01. Natural Language Processing-UQBxJzoCp-I.en.vtt | 1.17 KB | ||
| 01. Natural Language Processing-UQBxJzoCp-I.mp4 | 4.63 MB | ||
| 01. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt | 1.3 KB | ||
| 01. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt | 1.04 KB | ||
| 02. How NLP Pipelines Work.html | 6.45 KB | ||
| 02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt | 1.74 KB | ||
| 02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 | 1.9 MB | ||
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| 02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt | 1.54 KB | ||
| 03. Text Processing-pqheVyctkNQ.en.vtt | 2.63 KB | ||
| 03. Text Processing-pqheVyctkNQ.mp4 | 5.24 MB | ||
| 03. Text Processing-pqheVyctkNQ.pt-BR.vtt | 2.96 KB | ||
| 03. Text Processing-pqheVyctkNQ.zh-CN.vtt | 2.31 KB | ||
| 03. Text Processing.html | 6.65 KB | ||
| 04. Feature Extraction-Bd6TJB8eVLQ.en.vtt | 1.1 KB | ||
| 04. Feature Extraction-Bd6TJB8eVLQ.mp4 | 4.15 MB | ||
| 04. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt | 970 B | ||
| 04. Feature Extraction.html | 6.27 KB | ||
| 05. Bag Of Words-A7M1z8yLl0w.en.vtt | 4.72 KB | ||
| 05. Bag Of Words-A7M1z8yLl0w.mp4 | 6.57 MB | ||
| 05. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt | 5.04 KB | ||
| 05. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt | 4.12 KB | ||
| 05. Bag of Words.html | 6.34 KB | ||
| 06. TF-IDF-XZBiBIRcACE.en.vtt | 2.38 KB | ||
| 06. TF-IDF-XZBiBIRcACE.mp4 | 2.05 MB | ||
| 06. TF-IDF-XZBiBIRcACE.zh-CN.vtt | 2.07 KB | ||
| 06. TF-IDF.html | 6.2 KB | ||
| 07. One-Hot Encoding-a0j1CDXFYZI.en.vtt | 1.4 KB | ||
| 07. One-Hot Encoding-a0j1CDXFYZI.mp4 | 1.08 MB | ||
| 07. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt | 1.59 KB | ||
| 07. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt | 1.23 KB | ||
| 07. One-Hot Encoding.html | 6.38 KB | ||
| 08. Word Embeddings-4mM_S9L2_JQ.en.vtt | 1.55 KB | ||
| 08. Word Embeddings-4mM_S9L2_JQ.mp4 | 1.22 MB | ||
| 08. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt | 1.71 KB | ||
| 08. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt | 1.28 KB | ||
| 08. Word Embeddings.html | 6.37 KB | ||
| 09. Word2Vec-7jjappzGRe0.en.vtt | 3.42 KB | ||
| 09. Word2Vec-7jjappzGRe0.mp4 | 2.98 MB | ||
| 09. Word2Vec-7jjappzGRe0.pt-BR.vtt | 3.81 KB | ||
| 09. Word2Vec-7jjappzGRe0.zh-CN.vtt | 2.84 KB | ||
| 09. Word2Vec.html | 6.31 KB | ||
| 10. GloVe-KK3PMIiIn8o.en.vtt | 4.21 KB | ||
| 10. GloVe-KK3PMIiIn8o.mp4 | 3.81 MB | ||
| 10. GloVe-KK3PMIiIn8o.pt-BR.vtt | 4.55 KB | ||
| 10. GloVe-KK3PMIiIn8o.zh-CN.vtt | 3.6 KB | ||
| 10. GloVe.html | 6.31 KB | ||
| 11. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt | 5.11 KB | ||
| 11. Embeddings For Deep Learning-gj8u1KG0H2w.mp4 | 4.7 MB | ||
| 11. Embeddings For Deep Learning-gj8u1KG0H2w.pt-BR.vtt | 5.6 KB | ||
| 11. Embeddings For Deep Learning-gj8u1KG0H2w.zh-CN.vtt | 4.74 KB | ||
| 11. Embeddings for Deep Learning.html | 6.47 KB | ||
| 12. Modeling-P4w_2rkxBvE.en.vtt | 1.29 KB | ||
| 12. Modeling-P4w_2rkxBvE.mp4 | 2.6 MB | ||
| 12. Modeling-P4w_2rkxBvE.pt-BR.vtt | 1.44 KB | ||
| 12. Modeling-P4w_2rkxBvE.zh-CN.vtt | 1.1 KB | ||
| 12. Modeling.html | 6.21 KB | ||
| index.html | 4.84 KB | ||
| Part 07-Module 02-Lesson 01_Implementation of RNN _ LSTM | |||
| 01. Implementing RNNs.html | 6.7 KB | ||
| 01. M4L31 HSA Implementing RNNs V2 RENDERv1 V2-BHoiwB61ays.en.vtt | 2.05 KB | ||
| 01. M4L31 HSA Implementing RNNs V2 RENDERv1 V2-BHoiwB61ays.mp4 | 5.68 MB | ||
| 01. M4L31 HSA Implementing RNNs V2 RENDERv1 V2-BHoiwB61ays.pt-BR.vtt | 2.17 KB | ||
| 01. M4L31 HSA Implementing RNNs V2 RENDERv1 V2-BHoiwB61ays.zh-CN.vtt | 1.75 KB | ||
| 02. 02 Time Series Prediction V2-xV5jHLFfJbQ.en.vtt | 10.86 KB | ||
| 02. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp4 | 14.8 MB | ||
| 02. 02 Time Series Prediction V2-xV5jHLFfJbQ.pt-BR.vtt | 10.48 KB | ||
| 02. 02 Time Series Prediction V2-xV5jHLFfJbQ.zh-CN.vtt | 8.72 KB | ||
| 02. Time-Series Prediction.html | 7.45 KB | ||
| 03. 03 Training Memory V1-sx7T_KP5v9I.en.vtt | 7.85 KB | ||
| 03. 03 Training Memory V1-sx7T_KP5v9I.mp4 | 9.57 MB | ||
| 03. 03 Training Memory V1-sx7T_KP5v9I.pt-BR.vtt | 7.42 KB | ||
| 03. 03 Training Memory V1-sx7T_KP5v9I.zh-CN.vtt | 6.4 KB | ||
| 03. Training _ Memory.html | 8.61 KB | ||
| 04. Character-Wise RNN-dXl3eWCGLdU.en.vtt | 3.33 KB | ||
| 04. Character-Wise RNN-dXl3eWCGLdU.mp4 | 2.88 MB | ||
| 04. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt | 3.66 KB | ||
| 04. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt | 3.04 KB | ||
| 04. Character-wise RNNs.html | 6.59 KB | ||
| 05. Sequence Batching.html | 6.59 KB | ||
| 05. Sequence-Batching-Z4OiyU0Cldg.en.vtt | 2.09 KB | ||
| 05. Sequence-Batching-Z4OiyU0Cldg.mp4 | 2.29 MB | ||
| 05. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt | 2.33 KB | ||
| 05. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt | 1.92 KB | ||
| 06. Pre-Notebook Character-Level RNN.html | 8.77 KB | ||
| 07. Notebook Character-Level RNN.html | 7.02 KB | ||
| 08. 04 Implementing CharRNN V2-MMtgZXzFB10.en.vtt | 11.56 KB | ||
| 08. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4 | 15.77 MB | ||
| 08. 04 Implementing CharRNN V2-MMtgZXzFB10.pt-BR.vtt | 10.73 KB | ||
| 08. 04 Implementing CharRNN V2-MMtgZXzFB10.zh-CN.vtt | 9.43 KB | ||
| 08. Implementing a Char-RNN.html | 7 KB | ||
| 09. 05 Batching Data V1-9Eg0wf3eW-k.en.vtt | 5.17 KB | ||
| 09. 05 Batching Data V1-9Eg0wf3eW-k.mp4 | 5.82 MB | ||
| 09. 05 Batching Data V1-9Eg0wf3eW-k.pt-BR.vtt | 4.92 KB | ||
| 09. 05 Batching Data V1-9Eg0wf3eW-k.zh-CN.vtt | 4.24 KB | ||
| 09. Batching Data, Solution.html | 6.6 KB | ||
| 10. 06 Defining Model V2-_LWzyqq4hCY.en.vtt | 5.76 KB | ||
| 10. 06 Defining Model V2-_LWzyqq4hCY.mp4 | 9.05 MB | ||
| 10. 06 Defining Model V2-_LWzyqq4hCY.pt-BR.vtt | 5.99 KB | ||
| 10. 06 Defining Model V2-_LWzyqq4hCY.zh-CN.vtt | 4.87 KB | ||
| 10. Defining the Model.html | 7.08 KB | ||
| 11. 07 CharRNN Solution V1-ed33qePHrJM.en.vtt | 11.4 KB | ||
| 11. 07 CharRNN Solution V1-ed33qePHrJM.mp4 | 18.32 MB | ||
| 11. 07 CharRNN Solution V1-ed33qePHrJM.pt-BR.vtt | 11.12 KB | ||
| 11. 07 CharRNN Solution V1-ed33qePHrJM.zh-CN.vtt | 9.32 KB | ||
| 11. Char-RNN, Solution.html | 8.46 KB | ||
| 12. 08 Making Predictions V3-BhrpV3kwATo.en.vtt | 8.77 KB | ||
| 12. 08 Making Predictions V3-BhrpV3kwATo.mp4 | 12.38 MB | ||
| 12. 08 Making Predictions V3-BhrpV3kwATo.pt-BR.vtt | 8.92 KB | ||
| 12. 08 Making Predictions V3-BhrpV3kwATo.zh-CN.vtt | 7.11 KB | ||
| 12. Making Predictions.html | 7.47 KB | ||
| img.zip | 83.81 KB | ||
| index.html | 5.04 KB | ||
| Part 07-Module 02-Lesson 02_Sentiment Prediction RNN | |||
| 01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.en.vtt | 2.17 KB | ||
| 01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.mp4 | 2.2 MB | ||
| 01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.zh-CN.vtt | 1.69 KB | ||
| 01. Sentiment RNN, Introduction.html | 6.75 KB | ||
| 02. Pre-Notebook Sentiment RNN.html | 8.95 KB | ||
| 03. Notebook Sentiment RNN.html | 7.23 KB | ||
| 04. 3 Data PreProcessing V1-Xw1MWmql7no.en.vtt | 6.93 KB | ||
| 04. 3 Data PreProcessing V1-Xw1MWmql7no.mp4 | 10.09 MB | ||
| 04. 3 Data PreProcessing V1-Xw1MWmql7no.zh-CN.vtt | 5.68 KB | ||
| 04. Data Pre-Processing.html | 6.72 KB | ||
| 05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.en.vtt | 4.78 KB | ||
| 05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.mp4 | 6.45 MB | ||
| 05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.zh-CN.vtt | 4.12 KB | ||
| 05. Encoding Words, Solution.html | 6.74 KB | ||
| 06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.en.vtt | 3.6 KB | ||
| 06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.mp4 | 4.59 MB | ||
| 06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.zh-CN.vtt | 3.03 KB | ||
| 06. Getting Rid of Zero-Length.html | 6.76 KB | ||
| 07. 6 Cleaning And Padding V1-UgPo1_cq-0g.mp4 | 6.36 MB | ||
| 07. 6 Cleaning And Padding V1-UgPo1_cq-0g.zh-CN.vtt | 3.84 KB | ||
| 07. Cleaning _ Padding Data.html | 6.63 KB | ||
| 08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.en.vtt | 5.04 KB | ||
| 08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.mp4 | 5.48 MB | ||
| 08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.zh-CN.vtt | 4.19 KB | ||
| 08. Padded Features, Solution.html | 6.75 KB | ||
| 09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.en.vtt | 6.61 KB | ||
| 09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.mp4 | 9.01 MB | ||
| 09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.zh-CN.vtt | 5.66 KB | ||
| 09. TensorDataset _ Batching Data.html | 7.94 KB | ||
| 10. 9 DefiningModel V1-SpvIZl1YQRI.en.vtt | 5.05 KB | ||
| 10. 9 DefiningModel V1-SpvIZl1YQRI.mp4 | 5.63 MB | ||
| 10. 9 DefiningModel V1-SpvIZl1YQRI.zh-CN.vtt | 4.06 KB | ||
| 10. Defining the Model.html | 6.7 KB | ||
| 11. Complete Sentiment RNN.html | 12.93 KB | ||
| 12. Training the Model.html | 13.3 KB | ||
| 13. Testing.html | 10.57 KB | ||
| 14. Inference, Solution.html | 13.23 KB | ||
| img.zip | 560.72 KB | ||
| index.html | 5.22 KB | ||
| Part 08-Module 01-Lesson 01_Convolutional Neural Networks | |||
| 01. Apresentando Alexis-38ExGpdyvJI.en.vtt | 694 B | ||
| 01. Apresentando Alexis-38ExGpdyvJI.mp4 | 2.23 MB | ||
| 01. Apresentando Alexis-38ExGpdyvJI.pt-BR.vtt | 599 B | ||
| 01. Apresentando Alexis-38ExGpdyvJI.zh-CN.vtt | 615 B | ||
| 01. Introducing Alexis.html | 10.79 KB | ||
| 02. Aplicacoes de CNNs-HrYNL_1SV2Y.en.vtt | 5.37 KB | ||
| 02. Aplicacoes de CNNs-HrYNL_1SV2Y.mp4 | 23.75 MB | ||
| 02. Aplicacoes de CNNs-HrYNL_1SV2Y.pt-BR.vtt | 5.66 KB | ||
| 02. Aplicacoes de CNNs-HrYNL_1SV2Y.zh-CN.vtt | 4.7 KB | ||
| 02. Applications of CNNs.html | 16.69 KB | ||
| 03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.en.vtt | 1.26 KB | ||
| 03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.mp4 | 4.68 MB | ||
| 03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.pt-BR.vtt | 1.3 KB | ||
| 03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.zh-CN.vtt | 1.07 KB | ||
| 03. Lesson Outline.html | 11.97 KB | ||
| 04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.en.vtt | 2.82 KB | ||
| 04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.mp4 | 3.64 MB | ||
| 04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.pt-BR.vtt | 2.64 KB | ||
| 04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.zh-CN.vtt | 2.4 KB | ||
| 04. MNIST Dataset.html | 11.22 KB | ||
| 05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.en.vtt | 3.84 KB | ||
| 05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.mp4 | 9.15 MB | ||
| 05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.pt-BR.vtt | 4.07 KB | ||
| 05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.zh-CN.vtt | 3.27 KB | ||
| 05. How Computers Interpret Images.html | 12.68 KB | ||
| 06. ConNet 03 MLPStructure_ClassScore V1 V1-fP0Odiai8sk.en.vtt | 3.11 KB | ||
| 06. ConNet 03 MLPStructure_ClassScore V1 V1-fP0Odiai8sk.mp4 | 5.51 MB | ||
| 06. ConNet 03 MLPStructure_ClassScore V1 V1-fP0Odiai8sk.pt-BR.vtt | 3.16 KB | ||
| 06. ConNet 03 MLPStructure_ClassScore V1 V1-fP0Odiai8sk.zh-CN.vtt | 2.59 KB | ||
| 06. MLP Structure _ Class Scores.html | 11.34 KB | ||
| 07. 04 Do Your Research V1-CR4JeAn1fgk.en.vtt | 2.69 KB | ||
| 07. 04 Do Your Research V1-CR4JeAn1fgk.mp4 | 6.43 MB | ||
| 07. 04 Do Your Research V1-CR4JeAn1fgk.pt-BR.vtt | 2.8 KB | ||
| 07. 04 Do Your Research V1-CR4JeAn1fgk.zh-CN.vtt | 2.22 KB | ||
| 07. Do Your Research.html | 10.58 KB | ||
| 08. ConNet 05 Loss_Optimization V1 V3-BmPDtSXv18w.en.vtt | 7.51 KB | ||
| 08. ConNet 05 Loss_Optimization V1 V3-BmPDtSXv18w.mp4 | 6.55 MB | ||
| 08. ConNet 05 Loss_Optimization V1 V3-BmPDtSXv18w.pt-BR.vtt | 7.48 KB | ||
| 08. ConNet 05 Loss_Optimization V1 V3-BmPDtSXv18w.zh-CN.vtt | 6.12 KB | ||
| 08. Loss _ Optimization.html | 10.68 KB | ||
| 09. 06 Defining A Network V1-9gvaQvyfLfY.en.vtt | 7.13 KB | ||
| 09. 06 Defining A Network V1-9gvaQvyfLfY.mp4 | 9.78 MB | ||
| 09. 06 Defining A Network V1-9gvaQvyfLfY.pt-BR.vtt | 6.84 KB | ||
| 09. 06 Defining A Network V1-9gvaQvyfLfY.zh-CN.vtt | 6.01 KB | ||
| 09. Defining a Network in PyTorch.html | 11.75 KB | ||
| 10. 07 Training The Network V1-904bfqibcCw.en.vtt | 6.54 KB | ||
| 10. 07 Training The Network V1-904bfqibcCw.mp4 | 10.52 MB | ||
| 10. 07 Training The Network V1-904bfqibcCw.pt-BR.vtt | 6.12 KB | ||
| 10. 07 Training The Network V1-904bfqibcCw.zh-CN.vtt | 5.4 KB | ||
| 10. Training the Network.html | 12.43 KB | ||
| 11. Pre-Notebook MLP Classification, Exercise.html | 11.89 KB | ||
| 12. Notebook MLP Classification, MNIST.html | 11.01 KB | ||
| 13. 09 One Solution V2-7q37WPjQhDA.en.vtt | 7.93 KB | ||
| 13. 09 One Solution V2-7q37WPjQhDA.mp4 | 11.59 MB | ||
| 13. 09 One Solution V2-7q37WPjQhDA.pt-BR.vtt | 7.6 KB | ||
| 13. 09 One Solution V2-7q37WPjQhDA.zh-CN.vtt | 6.66 KB | ||
| 13. One Solution.html | 11.99 KB | ||
| 14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.en.vtt | 4.62 KB | ||
| 14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.mp4 | 3.34 MB | ||
| 14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.pt-BR.vtt | 4.35 KB | ||
| 14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.zh-CN.vtt | 3.83 KB | ||
| 14. Model Validation.html | 10.61 KB | ||
| 15. 11 Validation Loss V2-uGPP_-pbBsc.en.vtt | 8.76 KB | ||
| 15. 11 Validation Loss V2-uGPP_-pbBsc.mp4 | 14.23 MB | ||
| 15. 11 Validation Loss V2-uGPP_-pbBsc.pt-BR.vtt | 8.43 KB | ||
| 15. 11 Validation Loss V2-uGPP_-pbBsc.zh-CN.vtt | 7.34 KB | ||
| 15. Validation Loss.html | 11.49 KB | ||
| 16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.en.vtt | 1.75 KB | ||
| 16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.mp4 | 2.4 MB | ||
| 16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.pt-BR.vtt | 1.67 KB | ||
| 16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.zh-CN.vtt | 1.45 KB | ||
| 16. Image Classification Steps.html | 10.66 KB | ||
| 17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.en.vtt | 3.04 KB | ||
| 17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.mp4 | 4.24 MB | ||
| 17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.pt-BR.vtt | 2.97 KB | ||
| 17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.zh-CN.vtt | 2.56 KB | ||
| 17. MLPs vs CNNs.html | 10.88 KB | ||
| 18. Local Connectivity-z9wiDg0w-Dc.en.vtt | 8.95 KB | ||
| 18. Local Connectivity-z9wiDg0w-Dc.mp4 | 12.02 MB | ||
| 18. Local Connectivity-z9wiDg0w-Dc.pt-BR.vtt | 9.29 KB | ||
| 18. Local Connectivity-z9wiDg0w-Dc.zh-CN.vtt | 7.62 KB | ||
| 18. Local Connectivity.html | 10.58 KB | ||
| 19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.en.vtt | 2.11 KB | ||
| 19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.mp4 | 2.95 MB | ||
| 19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.pt-BR.vtt | 2.11 KB | ||
| 19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.zh-CN.vtt | 1.77 KB | ||
| 19. Filters and the Convolutional Layer.html | 10.67 KB | ||
| 20. ConNet 16 FIlters _ Edges V2-hfqNqcEU6uI.en.vtt | 1.61 KB | ||
| 20. ConNet 16 FIlters _ Edges V2-hfqNqcEU6uI.mp4 | 3.5 MB | ||
| 20. ConNet 16 FIlters _ Edges V2-hfqNqcEU6uI.pt-BR.vtt | 1.63 KB | ||
| 20. ConNet 16 FIlters _ Edges V2-hfqNqcEU6uI.zh-CN.vtt | 1.38 KB | ||
| 20. Filters _ Edges.html | 11.16 KB | ||
| 21. Frequency in Images.html | 12.82 KB | ||
| 22. High-pass Filters-OpcFn_H2V-Q.en.vtt | 7.56 KB | ||
| 22. High-pass Filters-OpcFn_H2V-Q.mp4 | 8.25 MB | ||
| 22. High-pass Filters-OpcFn_H2V-Q.pt-BR.vtt | 8.22 KB | ||
| 22. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt | 6.57 KB | ||
| 22. High-pass Filters.html | 11.77 KB | ||
| 23. Quiz Kernels.html | 11.68 KB | ||
| 24. OpenCV _ Creating Custom Filters.html | 12.95 KB | ||
| 25. Notebook Finding Edges.html | 10.98 KB | ||
| 26. Convolutional Layer.html | 13.05 KB | ||
| 27. Camadas convolucionais-RnM1D-XI--8.en.vtt | 9.99 KB | ||
| 27. Camadas convolucionais-RnM1D-XI--8.mp4 | 17.05 MB | ||
| 27. Camadas convolucionais-RnM1D-XI--8.pt-BR.vtt | 11 KB | ||
| 27. Camadas convolucionais-RnM1D-XI--8.zh-CN.vtt | 8.71 KB | ||
| 27. Convolutional Layers (Part 2).html | 11.44 KB | ||
| 28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.en.vtt | 3.61 KB | ||
| 28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.mp4 | 6.09 MB | ||
| 28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.pt-BR.vtt | 3.86 KB | ||
| 28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.zh-CN.vtt | 2.97 KB | ||
| 28. Stride and Padding.html | 10.62 KB | ||
| 29. 18 Pooling RENDER V1-_Ok5xZwOtrk.en.vtt | 2.9 KB | ||
| 29. 18 Pooling RENDER V1-_Ok5xZwOtrk.mp4 | 2.98 MB | ||
| 29. 18 Pooling RENDER V1-_Ok5xZwOtrk.pt-BR.vtt | 3.2 KB | ||
| 29. 18 Pooling RENDER V1-_Ok5xZwOtrk.zh-CN.vtt | 2.35 KB | ||
| 29. Pooling Layers.html | 12.63 KB | ||
| 30. Notebook Layer Visualization.html | 10.99 KB | ||
| 31. Capsule Networks.html | 14.67 KB | ||
| 32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.en.vtt | 4.23 KB | ||
| 32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.mp4 | 4.9 MB | ||
| 32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.pt-BR.vtt | 4.41 KB | ||
| 32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.zh-CN.vtt | 3.55 KB | ||
| 32. Increasing Depth.html | 10.69 KB | ||
| 33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.en.vtt | 4.74 KB | ||
| 33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.mp4 | 5.75 MB | ||
| 33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.pt-BR.vtt | 5.07 KB | ||
| 33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.zh-CN.vtt | 3.9 KB | ||
| 33. CNNs for Image Classification.html | 16.01 KB | ||
| 34. Convolutional Layers in PyTorch.html | 22.32 KB | ||
| 35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.en.vtt | 3.87 KB | ||
| 35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.mp4 | 5.37 MB | ||
| 35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.pt-BR.vtt | 3.9 KB | ||
| 35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.zh-CN.vtt | 3.28 KB | ||
| 35. Feature Vector.html | 10.65 KB | ||
| 36. Pre-Notebook CNN Classification.html | 12.31 KB | ||
| 37. Notebook CNNs for CIFAR Image Classification.html | 11.05 KB | ||
| 38. 23 Cifar Class V1-FF_EmZ2sf2w.en.vtt | 8.39 KB | ||
| 38. 23 Cifar Class V1-FF_EmZ2sf2w.mp4 | 12.83 MB | ||
| 38. 23 Cifar Class V1-FF_EmZ2sf2w.pt-BR.vtt | 8.62 KB | ||
| 38. 23 Cifar Class V1-FF_EmZ2sf2w.zh-CN.vtt | 7.07 KB | ||
| 38. CIFAR Classification Example.html | 11.57 KB | ||
| 39. 24 CNNs PyTorch V2-GNxzWfiz3do.en.vtt | 8.26 KB | ||
| 39. 24 CNNs PyTorch V2-GNxzWfiz3do.mp4 | 12.6 MB | ||
| 39. 24 CNNs PyTorch V2-GNxzWfiz3do.pt-BR.vtt | 8.11 KB | ||
| 39. 24 CNNs PyTorch V2-GNxzWfiz3do.zh-CN.vtt | 6.9 KB | ||
| 39. CNNs in PyTorch.html | 10.99 KB | ||
| 40. Image Augmentation In Keras-zQnx2jZmjTA.en.vtt | 4.56 KB | ||
| 40. Image Augmentation In Keras-zQnx2jZmjTA.mp4 | 4.93 MB | ||
| 40. Image Augmentation In Keras-zQnx2jZmjTA.pt-BR.vtt | 4.53 KB | ||
| 40. Image Augmentation In Keras-zQnx2jZmjTA.zh-CN.vtt | 3.87 KB | ||
| 40. Image Augmentation.html | 10.62 KB | ||
| 41. 26 Augmentation V1-J_gjHVt9pVw.en.vtt | 3.42 KB | ||
| 41. 26 Augmentation V1-J_gjHVt9pVw.mp4 | 7.62 MB | ||
| 41. 26 Augmentation V1-J_gjHVt9pVw.pt-BR.vtt | 3.26 KB | ||
| 41. 26 Augmentation V1-J_gjHVt9pVw.zh-CN.vtt | 2.89 KB | ||
| 41. Augmentation Using Transformations.html | 11.08 KB | ||
| 42. Groundbreaking CNN Architectures-GdYOqihgb2k.en.vtt | 3.59 KB | ||
| 42. Groundbreaking CNN Architectures-GdYOqihgb2k.mp4 | 7.32 MB | ||
| 42. Groundbreaking CNN Architectures-GdYOqihgb2k.pt-BR.vtt | 3.86 KB | ||
| 42. Groundbreaking CNN Architectures-GdYOqihgb2k.zh-CN.vtt | 3.17 KB | ||
| 42. Groundbreaking CNN Architectures.html | 12.09 KB | ||
| 43. Visualizando CNNs-mnqS_EhEZVg.en.vtt | 3.87 KB | ||
| 43. Visualizando CNNs-mnqS_EhEZVg.mp4 | 9.2 MB | ||
| 43. Visualizando CNNs-mnqS_EhEZVg.pt-BR.vtt | 3.83 KB | ||
| 43. Visualizando CNNs-mnqS_EhEZVg.zh-CN.vtt | 3.33 KB | ||
| 43. Visualizing CNNs (Part 1).html | 13.15 KB | ||
| 44. Visualizing CNNs (Part 2).html | 17.47 KB | ||
| 45. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.en.vtt | 2.03 KB | ||
| 45. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.mp4 | 3.66 MB | ||
| 45. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.pt-BR.vtt | 2.16 KB | ||
| 45. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.zh-CN.vtt | 1.72 KB | ||
| 45. Summary of CNNs.html | 10.66 KB | ||
| 46. Introduction to GPU Workspaces.html | 21.19 KB | ||
| 47. Workspace Playground.html | 10.71 KB | ||
| 48. GPU Workspace Playground.html | 10.86 KB | ||
| img.zip | 12.05 MB | ||
| index.html | 8.14 KB | ||
| Part 08-Module 01-Lesson 02_GPU Workspaces Demo | |||
| 01. Introduction to GPU Workspaces.html | 16.26 KB | ||
| 02. Workspace Playground.html | 5.78 KB | ||
| 03. GPU Workspace Playground.html | 5.93 KB | ||
| img.zip | 678.53 KB | ||
| index.html | 4.29 KB | ||
| Part 08-Module 01-Lesson 03_Cloud Computing | |||
| 01. AWS Overview.html | 8.52 KB | ||
| 02. AWS Setup Instructions for Regular account.html | 7.41 KB | ||
| 03. Get Access to GPU Instances.html | 17.24 KB | ||
| 04. More Resources.html | 7.61 KB | ||
| 05. Launch an Instance.html | 13.4 KB | ||
| 06. Login to the Instance.html | 10.13 KB | ||
| img.zip | 2.74 MB | ||
| index.html | 4.52 KB | ||
| Part 08-Module 01-Lesson 04_Transfer Learning | |||
| 01. Transfer Learning-yfPEROi3SPU.en.vtt | 2.54 KB | ||
| 01. Transfer Learning-yfPEROi3SPU.mp4 | 5.7 MB | ||
| 01. Transfer Learning-yfPEROi3SPU.pt-BR.vtt | 2.41 KB | ||
| 01. Transfer Learning-yfPEROi3SPU.zh-CN.vtt | 2.27 KB | ||
| 01. Transfer Learning.html | 6.16 KB | ||
| 02. Useful Layers-kn4BN7z3UGQ.en.vtt | 4.01 KB | ||
| 02. Useful Layers-kn4BN7z3UGQ.mp4 | 6.83 MB | ||
| 02. Useful Layers-kn4BN7z3UGQ.pt-BR.vtt | 3.91 KB | ||
| 02. Useful Layers-kn4BN7z3UGQ.zh-CN.vtt | 3.43 KB | ||
| 02. Useful Layers.html | 6.13 KB | ||
| 03. 03 Fine Tuning V1 RENDER V2-XOyb315xYbw.en.vtt | 3.22 KB | ||
| 03. 03 Fine Tuning V1 RENDER V2-XOyb315xYbw.mp4 | 5.78 MB | ||
| 03. 03 Fine Tuning V1 RENDER V2-XOyb315xYbw.pt-BR.vtt | 3.2 KB | ||
| 03. 03 Fine Tuning V1 RENDER V2-XOyb315xYbw.zh-CN.vtt | 2.79 KB | ||
| 03. Fine-Tuning.html | 17.89 KB | ||
| 04. VGG Classifier-fOiQFXItYe4.en.vtt | 6.8 KB | ||
| 04. VGG Classifier-fOiQFXItYe4.mp4 | 10.89 MB | ||
| 04. VGG Classifier-fOiQFXItYe4.pt-BR.vtt | 6.72 KB | ||
| 04. VGG Classifier-fOiQFXItYe4.zh-CN.vtt | 5.87 KB | ||
| 04. VGG Model _ Classifier.html | 6.19 KB | ||
| 05. Pre-Notebook Transfer Learning.html | 8.15 KB | ||
| 06. Notebook Transfer Learning, Flowers.html | 6.64 KB | ||
| 07. Freezing Weights _ Last Layer.html | 6.76 KB | ||
| 07. Freezing Weights-ssNIX_2QfMQ.en.vtt | 3.34 KB | ||
| 07. Freezing Weights-ssNIX_2QfMQ.mp4 | 4.55 MB | ||
| 07. Freezing Weights-ssNIX_2QfMQ.pt-BR.vtt | 3.23 KB | ||
| 07. Freezing Weights-ssNIX_2QfMQ.zh-CN.vtt | 2.92 KB | ||
| 08. Last Layer-4LniBMFI53g.en.vtt | 6.46 KB | ||
| 08. Last Layer-4LniBMFI53g.mp4 | 10.03 MB | ||
| 08. Last Layer-4LniBMFI53g.pt-BR.vtt | 6.13 KB | ||
| 08. Last Layer-4LniBMFI53g.zh-CN.vtt | 5.25 KB | ||
| 08. Training a Classifier.html | 6.03 KB | ||
| img.zip | 3.26 MB | ||
| index.html | 4.71 KB | ||
| Part 08-Module 01-Lesson 05_Weight Initialization | |||
| 01. 1 Weight Initialization V1-Ehc60si91Wg.en.vtt | 9.23 KB | ||
| 01. 1 Weight Initialization V1-Ehc60si91Wg.mp4 | 11.6 MB | ||
| 01. 1 Weight Initialization V1-Ehc60si91Wg.pt-BR.vtt | 8.92 KB | ||
| 01. 1 Weight Initialization V1-Ehc60si91Wg.zh-CN.vtt | 7.92 KB | ||
| 01. Weight Initialization.html | 6.38 KB | ||
| 02. 2 Constant Weights V1-zR4fECgeZ7Y.en.vtt | 8.99 KB | ||
| 02. 2 Constant Weights V1-zR4fECgeZ7Y.mp4 | 9.88 MB | ||
| 02. 2 Constant Weights V1-zR4fECgeZ7Y.pt-BR.vtt | 8.3 KB | ||
| 02. 2 Constant Weights V1-zR4fECgeZ7Y.zh-CN.vtt | 7.49 KB | ||
| 02. Constant Weights.html | 7.04 KB | ||
| 03. 4 Random Uniform V1-FacdIomrLIw.en.vtt | 6.3 KB | ||
| 03. 4 Random Uniform V1-FacdIomrLIw.mp4 | 8.1 MB | ||
| 03. 4 Random Uniform V1-FacdIomrLIw.pt-BR.vtt | 6.23 KB | ||
| 03. 4 Random Uniform V1-FacdIomrLIw.zh-CN.vtt | 5.34 KB | ||
| 03. Random Uniform.html | 6.32 KB | ||
| 04. 5 General Rule V1-YKe9iOUMmsI.en.vtt | 5.68 KB | ||
| 04. 5 General Rule V1-YKe9iOUMmsI.mp4 | 8 MB | ||
| 04. 5 General Rule V1-YKe9iOUMmsI.pt-BR.vtt | 5.5 KB | ||
| 04. 5 General Rule V1-YKe9iOUMmsI.zh-CN.vtt | 4.72 KB | ||
| 04. General Rule.html | 6.31 KB | ||
| 05. 6 Normal Distribution V1-xm43q4qD2tI.en.vtt | 3.54 KB | ||
| 05. 6 Normal Distribution V1-xm43q4qD2tI.mp4 | 4.07 MB | ||
| 05. 6 Normal Distribution V1-xm43q4qD2tI.pt-BR.vtt | 3.5 KB | ||
| 05. 6 Normal Distribution V1-xm43q4qD2tI.zh-CN.vtt | 2.9 KB | ||
| 05. Normal Distribution.html | 6.4 KB | ||
| 06. Pre-Notebook Weight Initialization, Normal Distribution.html | 7.49 KB | ||
| 07. Notebook Normal _ No Initialization.html | 6.81 KB | ||
| 08. 7 Sol Default Init V1-xIn8XLbR1LM.en.vtt | 5.65 KB | ||
| 08. 7 Sol Default Init V1-xIn8XLbR1LM.mp4 | 8.15 MB | ||
| 08. 7 Sol Default Init V1-xIn8XLbR1LM.pt-BR.vtt | 5.55 KB | ||
| 08. 7 Sol Default Init V1-xIn8XLbR1LM.zh-CN.vtt | 4.79 KB | ||
| 08. Solution and Default Initialization.html | 6.4 KB | ||
| 09. Additional Material.html | 6.54 KB | ||
| index.html | 4.85 KB | ||
| Part 08-Module 01-Lesson 06_Autoencoders | |||
| 01. Autoencoders 01 Autoencoders V2 RENDER V2-a5zHMWOq0fc.en.vtt | 3.87 KB | ||
| 01. Autoencoders 01 Autoencoders V2 RENDER V2-a5zHMWOq0fc.mp4 | 5.61 MB | ||
| 01. Autoencoders 01 Autoencoders V2 RENDER V2-a5zHMWOq0fc.pt-BR.vtt | 4.08 KB | ||
| 01. Autoencoders.html | 7.08 KB | ||
| 02. 2 Simple Autoencoder V2-KbmfyDNxL5U.en.vtt | 7.78 KB | ||
| 02. 2 Simple Autoencoder V2-KbmfyDNxL5U.mp4 | 9.42 MB | ||
| 02. 2 Simple Autoencoder V2-KbmfyDNxL5U.pt-BR.vtt | 6.98 KB | ||
| 02. A Linear Autoencoder.html | 7.04 KB | ||
| 03. Pre-Notebook Linear Autoencoder.html | 8.2 KB | ||
| 04. Notebook Linear Autoencoder.html | 7.57 KB | ||
| 05. 3 Defining Training Autoenc V1-OWrlQUSGqyo.en.vtt | 4.38 KB | ||
| 05. 3 Defining Training Autoenc V1-OWrlQUSGqyo.mp4 | 5.95 MB | ||
| 05. 3 Defining Training Autoenc V1-OWrlQUSGqyo.pt-BR.vtt | 4.12 KB | ||
| 05. Defining _ Training an Autoencoder.html | 7.1 KB | ||
| 06. 4 A Simple Solution V2-Jh3mbomqpw8.en.vtt | 2.52 KB | ||
| 06. 4 A Simple Solution V2-Jh3mbomqpw8.mp4 | 3.47 MB | ||
| 06. 4 A Simple Solution V2-Jh3mbomqpw8.pt-BR.vtt | 2.13 KB | ||
| 06. A Simple Solution.html | 7.02 KB | ||
| 07. Autoencoders 05 Learnable Sampling V2 RENDER V4-KjztLwPksj8.en.vtt | 4.16 KB | ||
| 07. Autoencoders 05 Learnable Sampling V2 RENDER V4-KjztLwPksj8.mp4 | 6.26 MB | ||
| 07. Autoencoders 05 Learnable Sampling V2 RENDER V4-KjztLwPksj8.pt-BR.vtt | 4.08 KB | ||
| 07. Learnable Upsampling.html | 7.13 KB | ||
| 08. Autoencoders 06 Transpose Convolution RENDER V4-hnnLAC1Q0zg.en.vtt | 3.72 KB | ||
| 08. Autoencoders 06 Transpose Convolution RENDER V4-hnnLAC1Q0zg.mp4 | 3.32 MB | ||
| 08. Autoencoders 06 Transpose Convolution RENDER V4-hnnLAC1Q0zg.pt-BR.vtt | 3.23 KB | ||
| 08. Transpose Convolutions.html | 7.13 KB | ||
| 09. 7 Convolutional Autoenc V1-QCA8QeZeDW8.en.vtt | 6.7 KB | ||
| 09. 7 Convolutional Autoenc V1-QCA8QeZeDW8.mp4 | 8.24 MB | ||
| 09. 7 Convolutional Autoenc V1-QCA8QeZeDW8.pt-BR.vtt | 6.05 KB | ||
| 09. Convolutional Autoencoder.html | 7.07 KB | ||
| 10. Pre-Notebook Convolutional Autoencoder.html | 9.25 KB | ||
| 11. Notebook Convolutional Autoencoder.html | 7.58 KB | ||
| 12. 8 Conv Solution V1-2_Yw9LLomCo.en.vtt | 5.24 KB | ||
| 12. 8 Conv Solution V1-2_Yw9LLomCo.mp4 | 7.82 MB | ||
| 12. 8 Conv Solution V1-2_Yw9LLomCo.pt-BR.vtt | 5.01 KB | ||
| 12. Convolutional Solution.html | 7.5 KB | ||
| 13. 9 Upsampling Denoising V2-XX63da4EPN0.en.vtt | 4.41 KB | ||
| 13. 9 Upsampling Denoising V2-XX63da4EPN0.mp4 | 5.69 MB | ||
| 13. 9 Upsampling Denoising V2-XX63da4EPN0.pt-BR.vtt | 4.15 KB | ||
| 13. Upsampling _ Denoising.html | 7.58 KB | ||
| 14. 10 Denoising V1-RIfEhKev24I.en.vtt | 3.96 KB | ||
| 14. 10 Denoising V1-RIfEhKev24I.mp4 | 6 MB | ||
| 14. 10 Denoising V1-RIfEhKev24I.pt-BR.vtt | 3.78 KB | ||
| 14. De-noising.html | 6.98 KB | ||
| 15. Pre-Notebook De-noising Autoencoder.html | 9.2 KB | ||
| 16. Notebook De-noising Autoencoder.html | 7.45 KB | ||
| index.html | 5.45 KB | ||
| Part 09-Module 01-Lesson 01_Web Development | |||
| 01. Introduction.html | 9.72 KB | ||
| 01. L4 Intro V2--PGMIIXFCgg.en.vtt | 1.95 KB | ||
| 01. L4 Intro V2--PGMIIXFCgg.mp4 | 8.56 MB | ||
| 01. L4 Intro V2--PGMIIXFCgg.pt-BR.vtt | 2.2 KB | ||
| 01. L4 Intro V2--PGMIIXFCgg.zh-CN.vtt | 1.8 KB | ||
| 02. L4 Lesson Overview V2-9WQF-CCNdJ8.en.vtt | 1.47 KB | ||
| 02. L4 Lesson Overview V2-9WQF-CCNdJ8.mp4 | 6.41 MB | ||
| 02. L4 Lesson Overview V2-9WQF-CCNdJ8.pt-BR.vtt | 1.59 KB | ||
| 02. L4 Lesson Overview V2-9WQF-CCNdJ8.zh-CN.vtt | 1.3 KB | ||
| 02. Lesson Overview.html | 10.27 KB | ||
| 03. The Web.html | 8.51 KB | ||
| 03. The World Wide Web-Rxn-zCyg_iA.en.vtt | 1.4 KB | ||
| 03. The World Wide Web-Rxn-zCyg_iA.mp4 | 4.16 MB | ||
| 03. The World Wide Web-Rxn-zCyg_iA.pt-BR.vtt | 1.42 KB | ||
| 03. The World Wide Web-Rxn-zCyg_iA.zh-CN.vtt | 1.42 KB | ||
| 04. Components of a Web App.html | 12.2 KB | ||
| 04. L4 Components Of A Web App V4-2aJf5sO2ox4.en.vtt | 2.45 KB | ||
| 04. L4 Components Of A Web App V4-2aJf5sO2ox4.mp4 | 7.83 MB | ||
| 04. L4 Components Of A Web App V4-2aJf5sO2ox4.pt-BR.vtt | 2.65 KB | ||
| 04. L4 Components Of A Web App V4-2aJf5sO2ox4.zh-CN.vtt | 2.19 KB | ||
| 05. The Front End-CspuxLGFM4U.en.vtt | 1.88 KB | ||
| 05. The Front End-CspuxLGFM4U.mp4 | 8.64 MB | ||
| 05. The Front End-CspuxLGFM4U.pt-BR.vtt | 1.96 KB | ||
| 05. The Front End-CspuxLGFM4U.zh-CN.vtt | 1.69 KB | ||
| 05. The Front-End.html | 8.47 KB | ||
| 06. 6 Screencast HTML Code V2-G7fBus1JSc0.en.vtt | 7.78 KB | ||
| 06. 6 Screencast HTML Code V2-G7fBus1JSc0.mp4 | 10.28 MB | ||
| 06. 6 Screencast HTML Code V2-G7fBus1JSc0.pt-BR.vtt | 8.14 KB | ||
| 06. 6 Screencast HTML Code V2-G7fBus1JSc0.zh-CN.vtt | 7.22 KB | ||
| 06. HTML.html | 13.88 KB | ||
| 07. Exercise HTML.html | 8.78 KB | ||
| 08. Div and Span-cbKA_dvthcY.en.vtt | 2.35 KB | ||
| 08. Div and Span-cbKA_dvthcY.mp4 | 2.91 MB | ||
| 08. Div and Span-cbKA_dvthcY.pt-BR.vtt | 2.4 KB | ||
| 08. Div and Span-cbKA_dvthcY.zh-CN.vtt | 2.1 KB | ||
| 08. Div and Span.html | 9.3 KB | ||
| 09. IDs and Classes-jnfDqdxDbO4.en.vtt | 3.41 KB | ||
| 09. IDs and Classes-jnfDqdxDbO4.mp4 | 4.43 MB | ||
| 09. IDs and Classes-jnfDqdxDbO4.pt-BR.vtt | 3.84 KB | ||
| 09. IDs and Classes-jnfDqdxDbO4.zh-CN.vtt | 3.1 KB | ||
| 09. IDs and Classes.html | 10.7 KB | ||
| 10. Exercise HTML Div, Span, IDs, Classes.html | 8.84 KB | ||
| 11. CSS-s_sdzHR9cs0.en.vtt | 9.85 KB | ||
| 11. CSS-s_sdzHR9cs0.mp4 | 15.91 MB | ||
| 11. CSS-s_sdzHR9cs0.pt-BR.vtt | 10.17 KB | ||
| 11. CSS-s_sdzHR9cs0.zh-CN.vtt | 8.88 KB | ||
| 11. CSS.html | 17 KB | ||
| 12. Exercise CSS.html | 8.78 KB | ||
| 13. Bootstrap Library-KsrqjguHWUI.en.vtt | 18.08 KB | ||
| 13. Bootstrap Library-KsrqjguHWUI.mp4 | 26.36 MB | ||
| 13. Bootstrap Library-KsrqjguHWUI.pt-BR.vtt | 16.37 KB | ||
| 13. Bootstrap Library-KsrqjguHWUI.zh-CN.vtt | 15.79 KB | ||
| 13. Bootstrap Library.html | 10.02 KB | ||
| 14. Exercise Bootstrap.html | 8.79 KB | ||
| 15. 14 Screencast JavaScript V2-vgXUKgsT_48.en.vtt | 7.92 KB | ||
| 15. 14 Screencast JavaScript V2-vgXUKgsT_48.mp4 | 9.67 MB | ||
| 15. 14 Screencast JavaScript V2-vgXUKgsT_48.pt-BR.vtt | 7.39 KB | ||
| 15. 14 Screencast JavaScript V2-vgXUKgsT_48.zh-CN.vtt | 7.08 KB | ||
| 15. JavaScript.html | 16.11 KB | ||
| 16. Exercise JavaScript.html | 8.79 KB | ||
| 17. 18 Screencast Plotly V2-QsmOW1jNeio.en.vtt | 11.64 KB | ||
| 17. 18 Screencast Plotly V2-QsmOW1jNeio.mp4 | 14.79 MB | ||
| 17. 18 Screencast Plotly V2-QsmOW1jNeio.pt-BR.vtt | 10.82 KB | ||
| 17. 18 Screencast Plotly V2-QsmOW1jNeio.zh-CN.vtt | 10.41 KB | ||
| 17. Plotly.html | 11.3 KB | ||
| 18. Exercise Plotly.html | 8.78 KB | ||
| 19. L4 The Back End V2-Esl0NL63S2c.en.vtt | 2.38 KB | ||
| 19. L4 The Back End V2-Esl0NL63S2c.mp4 | 5.29 MB | ||
| 19. L4 The Back End V2-Esl0NL63S2c.pt-BR.vtt | 2.73 KB | ||
| 19. L4 The Back End V2-Esl0NL63S2c.zh-CN.vtt | 2.13 KB | ||
| 19. The Backend.html | 11.05 KB | ||
| 20. 22 Screencast Flask V2-i_U3O-7cymk.en.vtt | 6.58 KB | ||
| 20. 22 Screencast Flask V2-i_U3O-7cymk.mp4 | 7.11 MB | ||
| 20. 22 Screencast Flask V2-i_U3O-7cymk.pt-BR.vtt | 7.09 KB | ||
| 20. 22 Screencast Flask V2-i_U3O-7cymk.zh-CN.vtt | 6.11 KB | ||
| 20. Flask.html | 14.4 KB | ||
| 21. Exercise Flask.html | 8.78 KB | ||
| 22. Flask + Pandas.html | 10.65 KB | ||
| 22. Flask and Pandas-L_M_8UVY42k.en.vtt | 4.38 KB | ||
| 22. Flask and Pandas-L_M_8UVY42k.mp4 | 6.2 MB | ||
| 22. Flask and Pandas-L_M_8UVY42k.pt-BR.vtt | 4.81 KB | ||
| 22. Flask and Pandas-L_M_8UVY42k.zh-CN.vtt | 3.91 KB | ||
| 23. Example Flask + Pandas.html | 8.82 KB | ||
| 24. Flask Pandas Plotly Part 1-xg7P8MnItdI.en.vtt | 4.66 KB | ||
| 24. Flask Pandas Plotly Part 1-xg7P8MnItdI.mp4 | 6.68 MB | ||
| 24. Flask Pandas Plotly Part 1-xg7P8MnItdI.pt-BR.vtt | 5.01 KB | ||
| 24. Flask Pandas Plotly Part 1-xg7P8MnItdI.zh-CN.vtt | 4.16 KB | ||
| 24. Flask+Plotly+Pandas Part 1.html | 11.75 KB | ||
| 25. 40 Screencast Flask Pandas Plotly Part2 V2-yx-DRzMsblI.en.vtt | 6.91 KB | ||
| 25. 40 Screencast Flask Pandas Plotly Part2 V2-yx-DRzMsblI.mp4 | 7.9 MB | ||
| 25. 40 Screencast Flask Pandas Plotly Part2 V2-yx-DRzMsblI.pt-BR.vtt | 7.07 KB | ||
| 25. 40 Screencast Flask Pandas Plotly Part2 V2-yx-DRzMsblI.zh-CN.vtt | 6.29 KB | ||
| 25. Flask+Plotly+Pandas Part 2.html | 10.42 KB | ||
| 26. Flask Pandas Plotly Part3-e8owK5zk-g8.en.vtt | 1.83 KB | ||
| 26. Flask Pandas Plotly Part3-e8owK5zk-g8.mp4 | 2.95 MB | ||
| 26. Flask Pandas Plotly Part3-e8owK5zk-g8.pt-BR.vtt | 1.93 KB | ||
| 26. Flask Pandas Plotly Part3-e8owK5zk-g8.zh-CN.vtt | 1.74 KB | ||
| 26. Flask+Plotly+Pandas Part 3.html | 9.91 KB | ||
| 27. 40 Screencast Flask Pandas Plotly Part4 V2-4IF2G9Fehb4.en.vtt | 10.08 KB | ||
| 27. 40 Screencast Flask Pandas Plotly Part4 V2-4IF2G9Fehb4.mp4 | 17.06 MB | ||
| 27. 40 Screencast Flask Pandas Plotly Part4 V2-4IF2G9Fehb4.pt-BR.vtt | 10.17 KB | ||
| 27. 40 Screencast Flask Pandas Plotly Part4 V2-4IF2G9Fehb4.zh-CN.vtt | 8.84 KB | ||
| 27. Flask+Plotly+Pandas Part 4.html | 11.19 KB | ||
| 28. Example Flask + Plotly + Pandas.html | 8.85 KB | ||
| 29. Exercise Flask + Plotly + Pandas.html | 8.83 KB | ||
| 30. Deployment-YPfNzpnm_Rk.en.vtt | 13.81 KB | ||
| 30. Deployment-YPfNzpnm_Rk.mp4 | 19.37 MB | ||
| 30. Deployment-YPfNzpnm_Rk.pt-BR.vtt | 13.64 KB | ||
| 30. Deployment-YPfNzpnm_Rk.zh-CN.vtt | 12.59 KB | ||
| 30. Deployment.html | 18.13 KB | ||
| 31. Exercise Deployment.html | 8.8 KB | ||
| 32. L4 Outro V2-8MyuJx5yu38.en.vtt | 1.36 KB | ||
| 32. L4 Outro V2-8MyuJx5yu38.mp4 | 3.09 MB | ||
| 32. L4 Outro V2-8MyuJx5yu38.pt-BR.vtt | 1.41 KB | ||
| 32. L4 Outro V2-8MyuJx5yu38.zh-CN.vtt | 1.18 KB | ||
| 32. Lesson Summary.html | 8.67 KB | ||
| index.html | 6.34 KB | ||
| Part 09-Module 01-Lesson 02_Portfolio Exercise Deploy a Data Dashboard | |||
| 01. Introduction.html | 14.3 KB | ||
| 02. Workspace Portfolio Exercise.html | 6.71 KB | ||
| 03. Troubleshooting Possible Errors.html | 6.79 KB | ||
| 04. Congratulations.html | 6.61 KB | ||
| 04. L5 Outro-rW1YP1aSb08.en.vtt | 2.39 KB | ||
| 04. L5 Outro-rW1YP1aSb08.mp4 | 9.6 MB | ||
| 04. L5 Outro-rW1YP1aSb08.pt-BR.vtt | 2.48 KB | ||
| 05. APIs [advanced version].html | 10.39 KB | ||
| 06. 44 Accessing The API Through Web Address SC 44 V2-nygWkgUQNfo.en.vtt | 7.71 KB | ||
| 06. 44 Accessing The API Through Web Address SC 44 V2-nygWkgUQNfo.mp4 | 20.47 MB | ||
| 06. 44 Accessing The API Through Web Address SC 44 V2-nygWkgUQNfo.pt-BR.vtt | 7.92 KB | ||
| 06. 44 Accessing The API Through Web Address SC 44 V2-nygWkgUQNfo.zh-CN.vtt | 6.93 KB | ||
| 06. World Bank API [advanced version].html | 8.52 KB | ||
| 07. Python and APIs [advanced version].html | 6.74 KB | ||
| 08. Advanced API Code Walk-through-AkqO534YooE.en.vtt | 11.39 KB | ||
| 08. Advanced API Code Walk-through-AkqO534YooE.mp4 | 17.73 MB | ||
| 08. Advanced API Code Walk-through-AkqO534YooE.pt-BR.vtt | 11.66 KB | ||
| 08. Advanced API Code Walk-through-AkqO534YooE.zh-CN.vtt | 10.34 KB | ||
| 08. World Bank Data Dashboard [advanced version].html | 8.4 KB | ||
| index.html | 4.85 KB | ||
| Part 10-Module 01-Lesson 01_What is Version Control | |||
| 01. Gitfinal L1 01 Welcome-lbR82UD5F0c.ar.vtt | 4.78 KB | ||
| 01. Gitfinal L1 01 Welcome-lbR82UD5F0c.en.vtt | 3.54 KB | ||
| 01. Gitfinal L1 01 Welcome-lbR82UD5F0c.mp4 | 12.74 MB | ||
| 01. Gitfinal L1 01 Welcome-lbR82UD5F0c.pt-BR.vtt | 3.47 KB | ||
| 01. Gitfinal L1 01 Welcome-lbR82UD5F0c.zh-CN.vtt | 3.2 KB | ||
| 01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.ar.vtt | 2.97 KB | ||
| 01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.en.vtt | 2.22 KB | ||
| 01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.mp4 | 7.2 MB | ||
| 01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.pt-BR.vtt | 2.28 KB | ||
| 01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.zh-CN.vtt | 1.91 KB | ||
| 01. What is Version Control.html | 9.59 KB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.ar.vtt | 2.17 KB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.en.vtt | 1.63 KB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.mp4 | 4.45 MB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.pt-BR.vtt | 1.78 KB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.zh-CN.vtt | 1.45 KB | ||
| 02. Version Control In Daily Use.html | 10.95 KB | ||
| 03. Git and Version Control Terminology.html | 14.67 KB | ||
| 03. Gitfinal L1 13 Git_S Terminology-bf26adzeqMM.ar.vtt | 3.63 KB | ||
| 03. Gitfinal L1 13 Git_S Terminology-bf26adzeqMM.en.vtt | 2.65 KB | ||
| 03. Gitfinal L1 13 Git_S Terminology-bf26adzeqMM.mp4 | 10.33 MB | ||
| 03. Gitfinal L1 13 Git_S Terminology-bf26adzeqMM.pt-BR.vtt | 2.79 KB | ||
| 03. Gitfinal L1 13 Git_S Terminology-bf26adzeqMM.zh-CN.vtt | 2.42 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.ar.vtt | 4.7 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.en.vtt | 3.55 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.mp4 | 2.6 MB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.pt-BR.vtt | 3.41 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.zh-CN.vtt | 3.31 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.ar.vtt | 1.57 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.en.vtt | 1.16 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.mp4 | 1.88 MB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.pt-BR.vtt | 1.17 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.zh-CN.vtt | 1.06 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.ar.vtt | 2.19 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.en.vtt | 1.52 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.mp4 | 5.03 MB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.pt-BR.vtt | 1.57 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.zh-CN.vtt | 1.35 KB | ||
| 04. MacLinux Setup.html | 11.82 KB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.ar.vtt | 2.59 KB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.en.vtt | 1.97 KB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.mp4 | 3.63 MB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.pt-BR.vtt | 2.08 KB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.zh-CN.vtt | 1.87 KB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.ar.vtt | 3.28 KB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.en.vtt | 2.57 KB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.mp4 | 3.77 MB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.pt-BR.vtt | 2.76 KB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.zh-CN.vtt | 2.46 KB | ||
| 05. Windows Setup.html | 10.9 KB | ||
| 06. Onward-iXbMaTwfIJI.ar.vtt | 1.43 KB | ||
| 06. Onward-iXbMaTwfIJI.en.vtt | 1.06 KB | ||
| 06. Onward-iXbMaTwfIJI.mp4 | 3.51 MB | ||
| 06. Onward-iXbMaTwfIJI.pt-BR.vtt | 1.12 KB | ||
| 06. Onward-iXbMaTwfIJI.zh-CN.vtt | 973 B | ||
| 06. Onward.html | 5.81 KB | ||
| img.zip | 803.69 KB | ||
| index.html | 4.51 KB | ||
| Part 10-Module 01-Lesson 02_Create a Git Repo | |||
| 01. Creating New Repositories - Intro-KT163BkqIeg.ar.vtt | 2.38 KB | ||
| 01. Creating New Repositories - Intro-KT163BkqIeg.en.vtt | 1.82 KB | ||
| 01. Creating New Repositories - Intro-KT163BkqIeg.mp4 | 6.8 MB | ||
| 01. Creating New Repositories - Intro-KT163BkqIeg.pt-BR.vtt | 1.91 KB | ||
| 01. Creating New Repositories - Intro-KT163BkqIeg.zh-CN.vtt | 1.68 KB | ||
| 01. Intro.html | 5.96 KB | ||
| 02. Create A Repo From Scratch.html | 15.7 KB | ||
| 03. Clone An Existing Repo.html | 17.32 KB | ||
| 04. Determine A Repo_s Status.html | 16.79 KB | ||
| 05. Create A Repo - Outro-h7j4STDFCjs.ar.vtt | 959 B | ||
| 05. Create A Repo - Outro-h7j4STDFCjs.en.vtt | 720 B | ||
| 05. Create A Repo - Outro-h7j4STDFCjs.mp4 | 2.73 MB | ||
| 05. Create A Repo - Outro-h7j4STDFCjs.pt-BR.vtt | 800 B | ||
| 05. Create A Repo - Outro-h7j4STDFCjs.zh-CN.vtt | 664 B | ||
| 05. Outro.html | 5.76 KB | ||
| img.zip | 1.66 MB | ||
| index.html | 4.39 KB | ||
| Part 10-Module 01-Lesson 03_Review A Repo_s History | |||
| 01. A Repository_s History - Intro-UBmg3syQS0E.ar.vtt | 4.91 KB | ||
| 01. A Repository_s History - Intro-UBmg3syQS0E.en.vtt | 3.89 KB | ||
| 01. A Repository_s History - Intro-UBmg3syQS0E.mp4 | 12.31 MB | ||
| 01. A Repository_s History - Intro-UBmg3syQS0E.pt-BR.vtt | 4.13 KB | ||
| 01. A Repository_s History - Intro-UBmg3syQS0E.zh-CN.vtt | 3.46 KB | ||
| 01. Intro.html | 6.25 KB | ||
| 02. Displaying A Repository_s Commits.html | 19.46 KB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.ar.vtt | 2.36 KB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.en.vtt | 1.7 KB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.mp4 | 2.22 MB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.pt-BR.vtt | 1.77 KB | ||
| 02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.zh-CN.vtt | 1.51 KB | ||
| 03. Changing How Git Log Displays Information.html | 13.93 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.ar.vtt | 1.46 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.en.vtt | 1.14 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.mp4 | 1.85 MB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.pt-BR.vtt | 1.22 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.zh-CN.vtt | 1.03 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.ar.vtt | 2.15 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.en.vtt | 1.6 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.mp4 | 4.23 MB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.pt-BR.vtt | 1.67 KB | ||
| 03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.zh-CN.vtt | 1.49 KB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.ar.vtt | 1.27 KB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.en.vtt | 1023 B | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.mp4 | 1.61 MB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.pt-BR.vtt | 1.07 KB | ||
| 04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.zh-CN.vtt | 948 B | ||
| 04. Viewing Modified Files.html | 14.02 KB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.ar.vtt | 6.92 KB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.en.vtt | 5.22 KB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.mp4 | 6.19 MB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.pt-BR.vtt | 5.56 KB | ||
| 05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.zh-CN.vtt | 4.72 KB | ||
| 05. Viewing File Changes.html | 17.36 KB | ||
| 06. Viewing A Specific Commit.html | 11.8 KB | ||
| 07. A Repository_s History - Outro-9rUf2HbdAd8.ar.vtt | 1.47 KB | ||
| 07. A Repository_s History - Outro-9rUf2HbdAd8.en.vtt | 1.01 KB | ||
| 07. A Repository_s History - Outro-9rUf2HbdAd8.mp4 | 4.39 MB | ||
| 07. A Repository_s History - Outro-9rUf2HbdAd8.pt-BR.vtt | 1.06 KB | ||
| 07. A Repository_s History - Outro-9rUf2HbdAd8.zh-CN.vtt | 933 B | ||
| 07. Outro.html | 6.11 KB | ||
| img.zip | 2.1 MB | ||
| index.html | 4.63 KB | ||
| Part 10-Module 01-Lesson 04_Add Commits to A Repo | |||
| 01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.ar.vtt | 2.55 KB | ||
| 01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.en.vtt | 2 KB | ||
| 01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.mp4 | 7.5 MB | ||
| 01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.pt-BR.vtt | 1.77 KB | ||
| 01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.zh-CN.vtt | 1.83 KB | ||
| 01. Intro.html | 6.04 KB | ||
| 02. Git Add.html | 21.46 KB | ||
| 03. Git Commit.html | 22.29 KB | ||
| 04. Commit Messages.html | 12.05 KB | ||
| 05. Git Diff.html | 8.7 KB | ||
| 06. Having Git Ignore Files.html | 14.02 KB | ||
| 07. Outro-5eyvsMvAPYs.ar.vtt | 1.55 KB | ||
| 07. Outro-5eyvsMvAPYs.en.vtt | 1.33 KB | ||
| 07. Outro-5eyvsMvAPYs.mp4 | 5.14 MB | ||
| 07. Outro-5eyvsMvAPYs.pt-BR.vtt | 1.39 KB | ||
| 07. Outro-5eyvsMvAPYs.zh-CN.vtt | 1.25 KB | ||
| 07. Outro.html | 5.77 KB | ||
| img.zip | 4.53 MB | ||
| index.html | 4.46 KB | ||
| Part 10-Module 01-Lesson 05_Tagging, Branching, and Merging | |||
| 01. Intro.html | 5.53 KB | ||
| 01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.mp4 | 6.4 MB | ||
| 02. Tagging.html | 18.29 KB | ||
| 03. Branching.html | 19.17 KB | ||
| 04. Branching Effectively.html | 27.93 KB | ||
| 05. Merging.html | 17.11 KB | ||
| 06. Merge Conflicts.html | 20.82 KB | ||
| 07. Outro.html | 5.27 KB | ||
| img.zip | 11.02 MB | ||
| index.html | 4.48 KB | ||
| Part 10-Module 01-Lesson 06_Undoing Changes | |||
| 01. Intro.html | 5.37 KB | ||
| 02. Modifying The Last Commit.html | 7.51 KB | ||
| 03. Reverting A Commit.html | 9.13 KB | ||
| 04. Resetting Commits.html | 23.13 KB | ||
| 05. Lesson Outro.html | 5.37 KB | ||
| 06. Course Outro.html | 5.85 KB | ||
| img.zip | 499.72 KB | ||
| index.html | 4.43 KB | ||
| assets.zip | 1.43 MB | ||
| index.html | 127.95 KB | ||
| ▲ 1754 total files | |||
Description
Lynda and other Courses >>> https://www.freecoursesonline.me/
For Developer Tools & Apps >>> https://ftuapps.com/
Forum for discussion >>> https://1hack.us/ 
Nanodegree Program–nd009t
Publisher : Udacity
Subtitle : English CC Included
Updated : July 2020
Course Source : https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t
Become a Machine Learning Engineer
Learn advanced machine learning techniques and algorithms -- including how to package and deploy your models to a production environment.
ESTIMATED TIME
- 3 Months
- At 10 hrs/week
PREREQUISITES
- Intermediate Python & Machine Learning Algorithms
IN COLLABORATION WITH 
What You Will Learn
Machine Learning Engineer
Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.
This program is intended for students who already have knowledge of machine learning algorithms.
PREREQUISITE KNOWLEDGE
To optimize your chances of success in this program, we recommend intermediate Python programming knowledge and intermediate knowledge of machine learning algorithms.
• Software Engineering Fundamentals
In this lesson, you’ll write production-level code and practice object-oriented programming, which you can integrate into machine learning projects.
BUILD A PYTHON PACKAGE
• Machine Learning in Production
Learn how to deploy machine learning models to a production environment using Amazon SageMaker.
DEPLOY A SENTIMENT ANALYSIS MODEL
• Machine Learning Case Studies
Apply machine learning techniques to solve real-world tasks; explore data and deploy both built-in and custom-made Amazon SageMaker models.
PLAGIARISM DETECTOR
• Machine Learning Capstone
In this capstone lesson, you’ll select a machine learning challenge and propose a possible solution.
CAPSTONE PROPOSAL AND PROJECT
Learn with the best
Cezanne Camacho, Mat Leonard, Luis Serrano, Dan Romuald Mbanga, Jennifer Staab, Sean Carrell, Josh Bernhard, Jay Alammar, Andrew Paster
GET STARTED WITH
Machine Learning Engineer
LEARN
• Learn advanced machine learning techniques and algorithms, including deployment to a production environment.
AVERAGE TIME
• On average, successful students take 3 months to complete this program.
BENEFITS INCLUDE
• Real-world projects from industry experts
• Technical mentor support
• Personal career coach & career services
STAY SHARP WHILE STAYING IN
• Financial support available worldwide to help in this challenging time
• Spend your time at home learning new, higher-paying job skills
• Commit to a brighter future by learning today
Why should I enroll?
As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. In this program, you’ll learn how to create an end-to-end machine learning product. You’ll deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics. This program is designed to give you the advanced skills you need to become a machine learning engineer.
Read more at course page.
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