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Udacity | Machine Learning Scholarship Program for Microsoft Azure [FCO]

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Udacity | Machine Learning Scholarship Program for Microsoft Azure [FCO] (Size: 2 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 Introduction to Machine Learning on Azure
  01. Welcome To Udacity V2-9QadFJRKrEA.mp4 5.23 MB
  01. Welcome to Udacity .html 5.66 KB
  02. How this program works.html 6.36 KB
  03. Join the Scholarship Community.html 7.47 KB
  04. Microsoft Azure PROMO (2)-hwtrw64xQmQ.mp4 11.81 MB
  04. Why Machine Learning.html 5.67 KB
  05. 0 00 11983 Udacity ML Course Lesson0 FINAL V3-C25mkY1R5Wc.mp4 25.17 MB
  05. Course Overview.html 8.81 KB
  img.zip 300.05 KB
  index.html 4.53 KB
  Part 01-Module 01-Lesson 02_Introduction to Machine Learning
  01. 1 00 11983 Udacity ML Course Lesson1 FINAL V2-V__T6TEXobA.mp4 10.2 MB
  01. Lesson Overview.html 9.69 KB
  02. 1 01 11983 Udacity ML Course Lesson1 FINAL V2-567-mVblChI.mp4 10.06 MB
  02. What is Machine Learning.html 14.3 KB
  03. 1 03 11983 Udacity ML Course Lesson1 FINAL V2-IFqpMGZRaGc.mp4 11.5 MB
  03. Applications of Machine Learning.html 13.41 KB
  04. 1 04 11983 Udacity ML Course Lesson1 FINAL V2-cy6RinIoteM.mp4 6.8 MB
  04. Brief History of Machine Learning.html 11.2 KB
  05. 1 05 11983 Udacity ML Course Lesson1 FINAL V2-xX66AYbEJJY.mp4 5.41 MB
  05. The Data Science Process.html 14.79 KB
  06. 1 06 11983 Udacity ML Course Lesson1 FINAL V2-11Hcp1ts494.mp4 9.29 MB
  06. Common Types of Data.html 12.48 KB
  07. 1 07A 11983 Udacity ML Course Lesson1 FINAL V2-DBML5tG138I.mp4 5.4 MB
  07. 1 10A 11983 Udacity ML Course Lesson1 FINAL V2-BCl4VaChdPk.mp4 5.81 MB
  07. Tabular Data.html 14.26 KB
  08. 1 07B 11983 Udacity ML Course Lesson1 FINAL V2-NyrL6ein-pw.mp4 2.4 MB
  08. Scaling Data.html 17.12 KB
  09. 1 07C 11983 Udacity ML Course Lesson1 FINAL V2-n2uIykJkJ44.mp4 6.32 MB
  09. Encoding Categorical Data.html 18.08 KB
  10. 1 08 11983 Udacity ML Course Lesson1 FINAL V2-ZTID77K760Y.mp4 6.36 MB
  10. Image Data.html 15.05 KB
  11. 1 09 11983 Udacity ML Course Lesson1 FINAL V2-Y5C-fVOEj8g.mp4 15.26 MB
  11. Text Data.html 25.4 KB
  12. 1 10B 11983 Udacity ML Course Lesson1 FINAL V2--STuxIvMhHo.mp4 8.31 MB
  12. Two Perspectives on ML.html 12.27 KB
  13. 1 11 11983 Udacity ML Course Lesson1 FINAL V2-4uHZkcRJ_J8.mp4 7.91 MB
  13. The Computer Science Perspective.html 15.31 KB
  14. 1 12 11983 Udacity ML Course Lesson1 FINAL V2-mRjQmAKpwgs.mp4 4.29 MB
  14. The Statistical Perspective.html 11.5 KB
  15. 1 13 11983 Udacity ML Course Lesson1 FINAL V2-jj_06syZGEg.mp4 11.03 MB
  15. The Tools for Machine Learning.html 14.93 KB
  16. 1 14 11983 Udacity ML Course Lesson1 FINAL V2-M9zUzwhIto4.mp4 3.08 MB
  16. Libraries.html 16.77 KB
  17. 1 15 11983 Udacity ML Course Lesson1 FINAL V2-YGssK4vvQak.mp4 3.54 MB
  17. 1 16 11983 Udacity ML Course Lesson1 FINAL V2-e2-yhSuxVMQ.mp4 8.94 MB
  17. Cloud Services.html 14.9 KB
  18. 1 17 11983 Udacity ML Course Lesson1 FINAL V2-rnKuhPp-9AU.mp4 6.6 MB
  18. Models vs. Algorithms.html 14.1 KB
  19. Prelaunch Lab.html 9.04 KB
  20. 1 18 11983 Udacity ML Course Lesson1 FINAL V2-RsQEl8zay3Y.mp4 15.02 MB
  20. Linear Regression.html 24.07 KB
  21. Linear Regression Check Your Understanding.html 14.53 KB
  22. Lab Instructions.html 11.75 KB
  23. Lab Train a Linear Regression Model.html 9.04 KB
  24. 1 19 11983 Udacity ML Course Lesson1 FINAL V2--UgmbgLY5fc.mp4 9.83 MB
  24. Walkthrough Train a Linear Regression Model.html 8.88 KB
  25. 1 20 11983 Udacity ML Course Lesson1 FINAL V2-kbdMEfNf2eQ.mp4 3.81 MB
  25. Learning Functions.html 13.84 KB
  26. 1 21 11983 Udacity ML Course Lesson1 FINAL V2-t9tQF3nn54M.mp4 7.28 MB
  26. Parametric vs. Non-parametric.html 18.09 KB
  27. 1 22 11983 Udacity ML Course Lesson1 FINAL V2-BYFfpR0thCA.mp4 10.37 MB
  27. Classical ML vs. Deep Learning.html 13.89 KB
  28. 1 23 11983 Udacity ML Course Lesson1 FINAL V2-2_JMdUc0D0c.mp4 10.8 MB
  28. Approaches to Machine Learning.html 19.88 KB
  29. 1 24A 11983 Udacity ML Course Lesson1 FINAL V2-UC8i4--WQoA.mp4 5.95 MB
  29. 1 24B 11983 Udacity ML Course Lesson1 FINAL V2-X1DotdITKyE.mp4 6.02 MB
  29. 1 24C 11983 Udacity ML Course Lesson1 FINAL V2-eAxyENSV7JE.mp4 10.63 MB
  29. The Trade-Offs.html 19.76 KB
  30. 1 25 11983 Udacity ML Course Lesson1 FINAL V2-Hoh74KrKh5k.mp4 9.05 MB
  30. Lesson Summary.html 9.56 KB
  img.zip 3.16 MB
  index.html 6.58 KB
  media.zip 152.31 KB
  Part 01-Module 01-Lesson 03_Model Training
  01. 2 00 11983 Udacity ML Course FINAL V2-Z6qaUHwrklk.mp4 132.17 MB
  01. Lesson Overview.html 10.45 KB
  02. Prelaunch Lab.html 10.08 KB
  03. Lab Instructions.html 12.84 KB
  04. 2 01 11983 Udacity ML Course FINAL V2-2UF0Lo3NDt0.mp4 264.58 MB
  04. Data Import and Transformation.html 12.24 KB
  05. Lab Import, Transform, and Export Data.html 10.1 KB
  06. 2 02 LAB 11983 Udacity ML Course FINAL V2-LllJB5LQtb0.mp4 21.96 MB
  06. Walkthrough Import, Transform, and Export Data.html 9.55 KB
  07. 2 03 11983 Udacity ML Course FINAL V2-b0J1SHbi9pE.mp4 10.3 MB
  07. 2 04 A 11983 Udacity ML Course FINAL V2-uUqlBoG0bPc.mp4 11.92 MB
  07. 2 04 B 11983 Udacity ML Course FINAL V2-S98RHa5Eioc.mp4 8.61 MB
  07. Managing Data.html 17.73 KB
  08. Prelaunch Lab.html 10.18 KB
  09. 2 05 A 11983 Udacity ML Course FINAL V2-o5CIakh9Xtg.mp4 9.01 MB
  09. 2 05 B 11983 Udacity ML Course FINAL V2-l8OetSHc754.mp4 19.29 MB
  09. More About Datasets.html 13.78 KB
  10. Lab Create and Version a Dataset.html 10.07 KB
  11. 2 06 LAB 11983 Udacity ML Course FINAL V2-aIvMainDa1E.mp4 7.28 MB
  11. Walkthrough Create and Version a Dataset.html 9.85 KB
  12. 2 07 11983 Udacity ML Course FINAL V3-aO2rp406n8A.mp4 13.84 MB
  12. Introducing Features.html 14.27 KB
  13. 2 08 A 11983 Udacity ML Course FINAL V2-j-b4K7KjEKA.mp4 27.35 MB
  13. 2 08 B 11983 Udacity ML Course FINAL V3-BTiJGJbMfbY.mp4 6.32 MB
  13. 2 09 11983 Udacity ML Course FINAL V2-ecd3jvTdlGw.mp4 21.45 MB
  13. Feature Engineering.html 15.76 KB
  14. Prelaunch Lab.html 10.08 KB
  15. 2 10 A 11983 Udacity ML Course FINAL V2-A_2GRAhJrAs.mp4 11.97 MB
  15. 2 10 B 11983 Udacity ML Course FINAL V2-5umJYhVUKcw.mp4 17.16 MB
  15. Feature Selection.html 13.63 KB
  16. Lab Engineer and Select Features.html 10.07 KB
  17. 2 11 A LAB 11983 Udacity ML Course FINAL V2-pIOkoTphyR8.mp4 13.4 MB
  17. 2 11 B LAB 11983 Udacity ML Course FINAL V2-KpO1Wa_TvT4.mp4 6.45 MB
  17. Walkthrough Engineer and Select Features.html 9.79 KB
  18. 2 12 11983 Udacity ML Course FINAL V2-QIAiteCikwI.mp4 14.81 MB
  18. 2 13 11983 Udacity ML Course FINAL V2 -lvs2_TL1sw8.mp4 22.15 MB
  18. Data Drift.html 15.88 KB
  19. 2 14 11983 Udacity ML Course FINAL V2-Ar9fKCgMT6A.mp4 24.26 MB
  19. Model Training Basics.html 15.42 KB
  20. 2 15 A 11983 Udacity ML Course FINAL V2-lBXm8TmGqDA.mp4 11.7 MB
  20. 2 15 B 11983 Udacity ML Course FINAL V2-D8Gw2Cbv2MY.mp4 20.55 MB
  20. Model Training in Azure Machine Learning.html 12.75 KB
  21. 2 16 11983 Udacity ML Course FINAL V2-FyvqRyMoWRA.mp4 18.76 MB
  21. Training Classifiers.html 12.24 KB
  22. 2 17 11983 Udacity ML Course FINAL V2-qpmlvrQWZ6U.mp4 20.38 MB
  22. Training Regressors.html 10.91 KB
  23. 2 18 11983 Udacity ML Course FINAL V2-c_8sEPf0Cg0.mp4 22.63 MB
  23. Evaluating Model Performance.html 12.33 KB
  24. Confusion Matrices.html 17.85 KB
  25. 2 19 A 11983 Udacity ML Course FINAL V2-rwvFVe3CbXs.mp4 14.33 MB
  25. 2 19 B 11983 Udacity ML Course FINAL V2-sG76ZVt0tS4.mp4 6.88 MB
  25. Evaluation Metrics for Classification.html 13.68 KB
  26. Prelaunch Lab.html 10.1 KB
  27. 2 20 11983 Udacity ML Course FINAL V2-cEwPyC6pvAY.mp4 12.21 MB
  27. Evaluation Metrics for Regression.html 12.67 KB
  28. Lab Train and Evaluate a Model.html 10.06 KB
  29. 2 21 LAB 11983 Udacity ML Course FINAL V2-P8XkYitGtXE.mp4 11.82 MB
  29. Walkthrough Train and Evaluate a Model.html 9.53 KB
  30. Prelaunch Lab.html 10.08 KB
  31. 2 22 11983 Udacity ML Course FINAL V2-c9PdpRJ-djc.mp4 12.24 MB
  31. 2 23 11983 Udacity ML Course FINAL V2-40iS8bfeFv8.mp4 12.45 MB
  31. 2 25 11983 Udacity ML Course FINAL V2-msaXELuThsY.mp4 28.47 MB
  31. Strength in Numbers.html 14 KB
  32. Lab Train a Two-Class Boosted Decision Tree.html 10.12 KB
  33. 2 24 LAB 11983 Udacity ML Course FINAL V2-AhLfTUincPQ.mp4 12.26 MB
  33. Walkthrough Train a Two-Class Boosted Decision Tree.html 9.59 KB
  34. Prelaunch Lab.html 10.11 KB
  35. Lab Train a Simple Classifier with Automated ML.html 10.13 KB
  36. 2 26 LAB 11983 Udacity ML Course FINAL V2-GQA96QHGfyE.mp4 11.75 MB
  36. Walkthrough Train a Simple Classifier with Automated ML.html 9.61 KB
  37. 2 27 11983 Udacity ML Course FINAL V2-YV-WLroRscE.mp4 16.82 MB
  37. Lesson Summary.html 10.49 KB
  img.rar 761.88 KB
  index.html 7.42 KB
  media.zip 64.15 KB
  Part 01-Module 01-Lesson 04_Supervised _ Unsupervised Learning
  01. 3 00 11983 Udacity ML Course Lesson3 FINAL V2-JuhUEeomiL8.mp4 5.54 MB
  01. Lesson Overview.html 9.74 KB
  02. Prelaunch Lab.html 9.13 KB
  03. 3 01 11983 Udacity ML Course Lesson3 FINAL V2-HXnLBA4OOsg.mp4 4.1 MB
  03. 3 02 11983 Udacity ML Course Lesson3 FINAL V2-9mbrJjUEyEI.mp4 10.38 MB
  03. Supervised Learning Classification.html 14.1 KB
  04. Lab Two-Class Classifiers Performance.html 9.13 KB
  05. 3 32 11983 Udacity ML Course Lesson3 FINAL V2-lXDOH8B0Gs4.mp4 8.34 MB
  05. Walkthrough Two-Class Classifiers Performance.html 8.6 KB
  06. Prelaunch Lab.html 9.12 KB
  07. 3 04 11983 Udacity ML Course Lesson3 FINAL V2-SR8akpb0zpE.mp4 6.13 MB
  07. Multi-Class Algorithms.html 9.86 KB
  08. Lab Multi-Class Classifiers Performance.html 9.13 KB
  09. 3 33 11983 Udacity ML Course Lesson3 FINAL V2-QewAKJzDAeg.mp4 4.75 MB
  09. Walkthrough Multi-Class Classifiers Performance.html 8.61 KB
  10. Prelaunch Lab.html 9.16 KB
  11. Lab Train a Classifier Using Automated Machine Learning.html 9.18 KB
  12. 3 34 11983 Udacity ML Course Lesson3 FINAL V2-2PGHJJARRa4.mp4 6.71 MB
  12. Walkthrough Train a Classifier Using Automated ML.html 8.65 KB
  13. Prelaunch Lab.html 9.13 KB
  14. 3 07 11983 Udacity ML Course Lesson3 FINAL V2-VfIJGRbKptQ.mp4 4.23 MB
  14. 3 08 11983 Udacity ML Course Lesson3 FINAL V2-pf9ccUR8fJg.mp4 5.19 MB
  14. Supervised Learning Regression.html 14.99 KB
  15. Lab Regressors Performance.html 9.08 KB
  16. 3 36 11983 Udacity ML Course Lesson3 FINAL V2-fH5GNou7nj4.mp4 4.11 MB
  16. Walkthrough Regressors Performance.html 8.55 KB
  17. Prelaunch Lab.html 9.14 KB
  18. 3 10 11983 Udacity ML Course Lesson3 FINAL V2-g1i5ErYFaUw.mp4 7.27 MB
  18. Automate the Training of Regressors.html 9.97 KB
  19. Lab Train a Regressor using Automated Machine Learning.html 9.18 KB
  20. 3 38 11983 Udacity ML Course Lesson3 FINAL V2-XpM7c9AAN3Y.mp4 5.94 MB
  20. Walkthrough Train a Regressor using Automated ML.html 8.65 KB
  21. 3 12 11983 Udacity ML Course Lesson3 FINAL V2-2ZM50KroKCU.mp4 5.02 MB
  21. 3 13A 11983 Udacity ML Course Lesson3 FINAL V2-xks3HdxklnE.mp4 2.34 MB
  21. 3 13B 11983 Udacity ML Course Lesson3 FINAL V3-87aNOz7QpKM.mp4 2.33 MB
  21. Unsupervised Learning.html 11.84 KB
  22. 3 13C 11983 Udacity ML Course Lesson3 FINAL V2-aPF17MZ6LkU.mp4 7.49 MB
  22. Semi-Supervised Learnining.html 10.36 KB
  23. Prelaunch Lab.html 9.11 KB
  24. 3 14 11983 Udacity ML Course Lesson3 FINAL V2-v4GMgObQpmg.mp4 5.88 MB
  24. 3 15 11983 Udacity ML Course Lesson3 FINAL V2-ZcuW7h8XPws.mp4 7.44 MB
  24. Clustering.html 13.49 KB
  25. Lab Train a Simple Clustering Model.html 9.12 KB
  26. 3 42 11983 Udacity ML Course Lesson3 FINAL V2-R3P39drDfYY.mp4 8.32 MB
  26. Walkthrough Train a Simple Clustering Algorithm.html 9.41 KB
  27. Lesson Summary.html 9.53 KB
  index.html 6.74 KB
  Part 01-Module 01-Lesson 05_Applications of Machine Learning
  01. 4 00 11983 Udacity ML Course Lesson4 FINAL V2-1HmKrd2a2_8.mp4 9.5 MB
  01. Lesson Overview.html 8.99 KB
  02. 4 01 A 11983 Udacity ML Course Lesson4 FINAL V2--n9joiAbG-g.mp4 10.31 MB
  02. 4 01 B 11983 Udacity ML Course Lesson4 FINAL V2-E6wi222GVUo.mp4 8.7 MB
  02. Classical ML vs. Deep Learning.html 11 KB
  03. 4 02 A1 11983 Udacity ML Course Lesson4 FINAL V2-pkqVrJ_wVGk.mp4 16.03 MB
  03. 4 02 A2 11983 Udacity ML Course Lesson4 FINAL V2-Lol7o0hihMU.mp4 16.17 MB
  03. 4 02 B 11983 Udacity ML Course Lesson4 FINAL V2-dFiIve3NFwo.mp4 9.05 MB
  03. What is Deep Learning.html 10.23 KB
  04. 4 02 C 11983 Udacity ML Course Lesson4 FINAL V3-NcEP9T0cDuU.mp4 15.58 MB
  04. Characteristics of Deep Learning.html 9.46 KB
  05. Prelaunch Lab.html 8.62 KB
  06. 4 03 11983 Udacity ML Course Lesson4 FINAL V2-Y5Ysf7q-Y9M.mp4 15.46 MB
  06. 4 04 11983 Udacity ML Course Lesson4 FINAL V3-B8hmwP1aCic.mp4 10.41 MB
  06. Benefits and Applications of Deep Learning.html 10.51 KB
  07. Lab Train a Simple Neural Net.html 8.57 KB
  08. 4 05 Demo 11983 Udacity ML Course Lesson4 FINAL V2-Tt23S02LP6g.mp4 12.27 MB
  08. Walkthrough Train a Simple Neural Net.html 8.07 KB
  09. 4 06 A 11983 Udacity ML Course Lesson4 FINAL V2-N86yJ1UP5s8.mp4 17.28 MB
  09. 4 06 B 11983 Udacity ML Course Lesson4 FINAL V2-urQbSmviMx4.mp4 11.3 MB
  09. Specialized Cases of Model Training.html 12.28 KB
  10. Prelaunch Lab.html 8.59 KB
  11. 4 07 A 11983 Udacity ML Course Lesson4 FINAL V3-aW8ujYYtglg.mp4 13.6 MB
  11. 4 07 B 11983 Udacity ML Course Lesson4 FINAL V3-opL7imA2cjM.mp4 5.55 MB
  11. Similarity Learning.html 10.58 KB
  12. Lab Train a Simple Recommender.html 8.57 KB
  13. 4 08 Demo A 11983 Udacity ML Course Lesson4 FINAL V2-LWOe5jrngw8.mp4 9.73 MB
  13. 4 08 Demo B 11983 Udacity ML Course Lesson4 FINAL V2-3wl5n7JTjFk.mp4 7.1 MB
  13. Walkthrough Train a Simple Recommender.html 8.32 KB
  14. Prelaunch Lab.html 8.59 KB
  15. 4 09 A1 11983 Udacity ML Course Lesson4 FINAL V2-sUJ9yorV1V4.mp4 10.63 MB
  15. 4 09 A2 11983 Udacity ML Course Lesson4 FINAL V2-OYgDFnn4dGA.mp4 6.5 MB
  15. 4 09 B 11983 Udacity ML Course Lesson4 FINAL V2-uFjJeVXPkyw.mp4 7.15 MB
  15. Text Classification.html 10.79 KB
  16. Lab Train a Simple Text Classifier.html 8.59 KB
  17. 4 10 A Demo 11983 Udacity ML Course Lesson4 FINAL V2-IoLpwQiTdPQ.mp4 11.74 MB
  17. 4 10 B Demo 11983 Udacity ML Course Lesson4 FINAL V2-WYF7HnRR1rs.mp4 9.77 MB
  17. Walkthrough Train a Simple Text Classifier.html 8.35 KB
  18. 4 11 11983 Udacity ML Course Lesson4 FINAL V3-FZFgoHtdnpE.mp4 18.48 MB
  18. Feature Learning.html 10.23 KB
  19. 4 12 A 11983 Udacity ML Course Lesson4 FINAL V2-LGTdscqTl4E.mp4 5.27 MB
  19. 4 12 B 11983 Udacity ML Course Lesson4 FINAL V2-DMJ2erBuWQM.mp4 19.96 MB
  19. 4 12 C 11983 Udacity ML Course Lesson4 FINAL V2-JxFYhiIxllg.mp4 17.79 MB
  19. Applications of Feature Learning.html 9.26 KB
  20. 4 13 11983 Udacity ML Course Lesson4 FINAL V2-xFSa2FgkJTE.mp4 18.62 MB
  20. 4 14 A 11983 Udacity ML Course Lesson4 FINAL V2-htPzXY6fVrg.mp4 12.34 MB
  20. 4 14 B 11983 Udacity ML Course Lesson4 FINAL V2-z0ZtPmBJVYY.mp4 11.59 MB
  20. Anomaly Detection.html 12.33 KB
  21. Prelaunch Lab.html 8.59 KB
  22. 4 15 A 11983 Udacity ML Course Lesson4 FINAL V2-B0Jt1njlV6s.mp4 9.16 MB
  22. 4 15 B 11983 Udacity ML Course Lesson4 FINAL V2-FVwZQ8MR2hc.mp4 28.77 MB
  22. Forecasting.html 10.19 KB
  23. Lab Forecasting.html 8.51 KB
  24. 4 16 Demo 11983 Udacity ML Course Lesson4 FINAL V2-A_o7iinfabQ.mp4 9.79 MB
  24. Walkthrough Forecasting.html 7.98 KB
  25. 4 17 11983 Udacity ML Course Lesson4 FINAL V2-qYJ6kjgzOVI.mp4 10.08 MB
  25. Lesson Summary.html 8.87 KB
  img.zip 46.89 KB
  index.html 6.25 KB
  Part 01-Module 01-Lesson 06_Managed Services for Machine Learning
  01. 5 00 11983 Udacity ML Course Lesson5 FINAL V2-hoGKdgb8g7M.mp4 4.5 MB
  01. Lesson Overview.html 9.16 KB
  02. 5 01 11983 Udacity ML Course Lesson5 FINAL V2-vVZcGHAMOqY.mp4 7.59 MB
  02. Managed Services for Machine Learning.html 9.16 KB
  03. Prelaunch Lab.html 8.63 KB
  04. 5 02 11983 Udacity ML Course Lesson5 FINAL V2-bif1io4cNQQ.mp4 6.28 MB
  04. 5 03 11983 Udacity ML Course Lesson5 FINAL V2-SOPDkh9P-5I.mp4 12.85 MB
  04. Compute Resources.html 10.29 KB
  05. Lab Managing Compute.html 8.57 KB
  06. 5 Lab01 11983 Udacity ML Course Lesson5 FINAL-q7RRdfwTWEA.mp4 5.7 MB
  06. Walkthrough Managing Compute.html 8.03 KB
  07. Prelaunch Lab.html 8.64 KB
  08. 5 05 11983 Udacity ML Course Lesson5 FINAL V2-ZF33SyTMGNA.mp4 10.43 MB
  08. Managed Notebook Environments.html 9.02 KB
  09. Lab Managed Notebook Environments.html 8.62 KB
  10. 5 Lab02 11983 Udacity ML Course Lesson5 FINAL-YSWxHQsBK-U.mp4 4.08 MB
  10. Walkthrough Managed Notebook Environments.html 8.14 KB
  11. Prelaunch Lab.html 8.63 KB
  12. 5 07 11983 Udacity ML Course Lesson5 FINAL V2-Ar5V4a0OBug.mp4 5.43 MB
  12. 5 08 11983 Udacity ML Course Lesson5 FINAL V2-PNKjNd0uJSI.mp4 6.99 MB
  12. 5 09 11983 Udacity ML Course Lesson5 FINAL V2-oADXOnCXVNg.mp4 5.13 MB
  12. 5 10 11983 Udacity ML Course Lesson5 FINAL V2-dRB4fj3LD4o.mp4 9.01 MB
  12. 5 11 11983 Udacity ML Course Lesson5 FINAL V2-wWODHPbb8no.mp4 6.24 MB
  12. Basic Modeling.html 12.84 KB
  13. Lab Explore Experiments and Runs.html 8.62 KB
  14. 5 Lab03 11983 Udacity ML Course Lesson5 FINAL-S0pSSahJJIM.mp4 6.61 MB
  14. Walkthrough Explore Experiments and Runs.html 8.09 KB
  15. 5 13 11983 Udacity ML Course Lesson5 FINAL V2-f7uWcFzT-FI.mp4 4.06 MB
  15. 5 14 11983 Udacity ML Course Lesson5 FINAL V2-74ezKhozwY0.mp4 10.11 MB
  15. 5 15 11983 Udacity ML Course Lesson5 FINAL 1080 3M FINAL V4-sDp10jUg9Bk.mp4 8.27 MB
  15. Advanced Modeling.html 9.88 KB
  16. Prelaunch Lab.html 8.63 KB
  17. 5 16 11983 Udacity ML Course Lesson5 FINAL V3-RcRP0QDPqBc.mp4 4.25 MB
  17. 5 17 11983 Udacity ML Course Lesson5 FINAL V2-bM9wpLEE3YQ.mp4 7.68 MB
  17. 5 18 11983 Udacity ML Course Lesson5 FINAL V2-5faQxutTO_g.mp4 16.08 MB
  17. Operationalizing Models.html 11.87 KB
  18. Lab Deploy a Model as a Webservice.html 8.63 KB
  19. 5 Lab04 A 11983 Udacity ML Course Lesson5 FINAL-YRjFSMsOfBU.mp4 5.27 MB
  19. 5 Lab04 B 11983 Udacity ML Course Lesson5 FINAL-PV0o_NwgRzk.mp4 2.96 MB
  19. 5 Lab04 C 11983 Udacity ML Course Lesson5 FINAL-YzpvDRggb4Q.mp4 6.62 MB
  19. Walkthrough Deploy a Model as a Webservice.html 8.62 KB
  20. Prelaunch Lab.html 8.65 KB
  21. 5 20 11983 Udacity ML Course Lesson5 FINAL V2-69xItMGJ2p8.mp4 10.93 MB
  21. Programmatically Accessing Managed Services.html 9.47 KB
  22. Lab Training and Deploying from a Compute Instance.html 8.69 KB
  23. 5 Lab05 11983 Udacity ML Course Lesson5 FINAL-nOnJXN4XP1M.mp4 16.1 MB
  23. Walkthrough Training and Deploying from a Compute Instance.html 8.24 KB
  24. 5 22 11983 Udacity ML Course Lesson5 FINAL V2-ybpXlQi_ZFI.mp4 3.34 MB
  24. Lesson Summary.html 8.97 KB
  img.zip 57.65 KB
  index.html 6.33 KB
  Part 01-Module 01-Lesson 07_Responsible AI
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Description


Lynda and other Courses >>> https://www.freecoursesonline.me/
For Developer Tools & Apps >>> https://ftuapps.com/
Forum for discussion >>> https://1hack.us/




Nanodegree Program
Publisher : Udacity
Released : 2020
Course Source : https://www.udacity.com/scholarships/machine-learning-scholarship-microsoft-azure

Build your Machine Learning skills on Microsoft Azure and be a part of
the next wave of technological transformation across industries.

Become A Machine Learning Engineer

• Upskill yourself with machine learning skills that are in-demand at enterprises everywhere and ensure your career has endless opportunities for growth.
• Demonstrate your mastery of Machine Learning skills by completing a series of hands-on tasks and projects in the Azure environment.
• Join a community of peers driving the next wave of advancement in Artificial Intelligence technology.

How It Works

Begin by submiting an application via the link on this page. We’ll review all applications and select applicants to participate in the Introduction to machine learning on Azure with a Low-code Experience. This is where your learning begins! Students will spend five weeks performing a variety of tasks on Azure Machine Learning labs - from data import, transformation, and management to training, validating, and evaluating models.

The Introduction to machine learning on Azure with a Low-code Experience is intended for learners who have programming knowledge in any language, preferably python, and are comfortable writing scripts. Having a knowledge of basic statistics will also help to understand and deploy the Machine Learning models in this course.

The top 300 students from the Introduction to machine learning on Azure with a Low-code Experience will be selected for one of 300 scholarships to the brand-new machine learning Nanodegree program with Microsoft Azure, designed and created with Microsoft.

This scholarship is open to all applicants who have experience with basic Python programming and basics of statistics and algebra. Udacity also recommends basic familiarity with fundamental machine learning concepts. Applicants 18 years of age or older are invited to apply.

Foundations Course

Introduction to machine learning on Azure with a Low-code Experience

- Apply to participate in the new course "Introduction to machine learning on Azure with a Low-code Experience" and learn the foundations of machine learning.

- Build practical experience by training, validating, and evaluating machine learning models on the Azure platform.

- Commit to dedicating 5-10 hours a week on the course and work towards earning one of the follow-up Nanodegree program scholarships by showcasing your newly honed Machine Learning skills.

Machine Learning
WITH MICROSOFT AZURE

Strengthen your machine learning skills by building sophisticated machine learning models, such as time series forecasting and hyper parameter tuning.

How does this scholarship program work?

The scholarship program begins with the application. All students interested in the scholarship opportunity should submit a completed application before the application deadline. All applicants will then be notified of the admissions decision via email, regardless of whether they are accepted into the program. Accepted students will receive instructions via email about how they can enroll in the initial scholarship foundations course.

Phase 1: Scholarship Foundations Course
In the first phase of the Machine Learning Scholarship Program for Microsoft Azure, students will receive rigorous training, typically requiring 2-3 hours of work per week for 2 months. Students in the foundations course will be trained on key machine learning skills, receive a robust community experience supported by Udacity mentors and a dedicated Community Manager, and have a chance to qualify for a full Nanodegree program scholarship. At the end of the foundations course, Udacity will select 300 students to be awarded a full scholarship to a Udacity Nanodegree program. Selections will be made based on successful completion of lessons and quizzes in Phase 1 and student participation and support of classmates in the student community.

Phase 2: Full Scholarship for a Udacity Nanodegree program
300 students in the program will earn a scholarship to the new machine learning Nanodegree program with Microsoft Azure. Nanodegree programs typically require 10 hours of work per week for the duration of the Nanodegree program. This program will offer world-class curriculum, integrated Azure labs for a smooth learning curve, a groundbreaking classroom experience, industry-leading instructors, thorough project reviews, and a full suite of career services.

Read more at course page.

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