| 001 A Product Manager as an Analytics Translator.mp4 | 11.4 MB | ||
| 001 A Product Manager as an Analytics Translator_en.vtt | 4.1 KB | ||
| 001 AI Business Model Innovations.mp4 | 14.3 MB | ||
| 001 AI Business Model Innovations_en.vtt | 5.6 KB | ||
| 001 AI Flywheel Effect.mp4 | 14.7 MB | ||
| 001 AI Flywheel Effect_en.vtt | 4 KB | ||
| 001 AI Hierarchy of Needs.mp4 | 13.4 MB | ||
| 001 AI Hierarchy of Needs_en.vtt | 5.6 KB | ||
| 001 AI User Concerns.mp4 | 10.4 MB | ||
| 001 AI User Concerns_en.vtt | 4.3 KB | ||
| 001 Data Growth Strategy.mp4 | 24.8 MB | ||
| 001 Data Growth Strategy_en.vtt | 6.7 KB | ||
| 001 Dividing Test Data.mp4 | 12 MB | ||
| 001 Dividing Test Data_en.vtt | 5.1 KB | ||
| 001 Hidden-Technical-Debt-in-Machine-Learning-Systems.url | 102.4 B | ||
| 001 Internal Stakeholder Management.mp4 | 14.5 MB | ||
| 001 Internal Stakeholder Management_en.vtt | 5.7 KB | ||
| 001 Introduction.mp4 | 90.3 MB | ||
| 001 Introduction_en.vtt | 4.8 KB | ||
| 001 Lost-in-Translation.url | 102.4 B | ||
| 001 Model Deployment Methods.mp4 | 15.7 MB | ||
| 001 Model Deployment Methods_en.vtt | 6.7 KB | ||
| 001 User Experience for Data & AI.mp4 | 11.9 MB | ||
| 001 User Experience for Data & AI_en.vtt | 4.5 KB | ||
| 001 Who Should Buid Your Model.mp4 | 15 MB | ||
| 001 Who Should Buid Your Model_en.vtt | 6.1 KB | ||
| 001 You-Don-t-Have-to-Be-a-Data-Scientist-to-Fill-This-Must-Have-Analytics-Role.url | 102.4 B | ||
| 002 AI Within an Organization.mp4 | 12.4 MB | ||
| 002 AI Within an Organization_en.vtt | 5 KB | ||
| 002 Bad Actors & Security.mp4 | 14.5 MB | ||
| 002 Bad Actors & Security_en.vtt | 6.1 KB | ||
| 002 Course Overview.mp4 | 63.9 MB | ||
| 002 Course Overview_en.vtt | 3.2 KB | ||
| 002 Data Analysis vs. Data Science.mp4 | 8.9 MB | ||
| 002 Data Analysis vs. Data Science_en.vtt | 3.4 KB | ||
| 002 Database-of-Enterprise-AI-Companies.url | 102.4 B | ||
| 002 Enterpise AI.mp4 | 13.3 MB | ||
| 002 Enterpise AI_en.vtt | 5.7 KB | ||
| 002 Getting to the Core Problem.mp4 | 19.2 MB | ||
| 002 Getting to the Core Problem_en.vtt | 5.2 KB | ||
| 002 List-of-Open-Data-Sources.url | 102.4 B | ||
| 002 Monitoring Models.mp4 | 12.5 MB | ||
| 002 Monitoring Models_en.vtt | 5.1 KB | ||
| 002 Note-45.pdf | 93 KB | ||
| 002 Open Data.mp4 | 8.7 MB | ||
| 002 Open Data_en.vtt | 3.7 KB | ||
| 002 Setting Data Expectations.mp4 | 13.8 MB | ||
| 002 Setting Data Expectations_en.vtt | 5.8 KB | ||
| 002 TOPBOTS.url | 0 B | ||
| 002 The Confusion Matrix.mp4 | 14.2 MB | ||
| 002 The Confusion Matrix_en.vtt | 4 KB | ||
| 002 Top & Bottom Problem Solving.mp4 | 9.8 MB | ||
| 002 Top & Bottom Problem Solving_en.vtt | 3.9 KB | ||
| 002 When to Use AI.mp4 | 11.7 MB | ||
| 002 When to Use AI_en.vtt | 4.8 KB | ||
| 003 A Traditional Algorithm vs. AI.mp4 | 129.4 MB | ||
| 003 A Traditional Algorithm vs. AI_en.vtt | 6.7 KB | ||
| 003 AI Amplifying Human Bias.mp4 | 16.6 MB | ||
| 003 AI Amplifying Human Bias_en.vtt | 6.9 KB | ||
| 003 Active Listening & Communication.mp4 | 12.6 MB | ||
| 003 Active Listening & Communication_en.vtt | 5 KB | ||
| 003 Company Data.mp4 | 9.5 MB | ||
| 003 Company Data_en.vtt | 3.7 KB | ||
| 003 Growing Importance of an AI & Data PM.mp4 | 67.9 MB | ||
| 003 Growing Importance of an AI & Data PM_en.vtt | 3.6 KB | ||
| 003 Machine Learning as a Service (MLaaS).mp4 | 13.6 MB | ||
| 003 Machine Learning as a Service (MLaaS)_en.vtt | 5.2 KB | ||
| 003 Note-46.pdf | 242.1 KB | ||
| 003 Precision, Recall & F1 Score.mp4 | 17 MB | ||
| 003 Precision, Recall & F1 Score_en.vtt | 4.8 KB | ||
| 003 Product Ideation Techniques.mp4 | 19.6 MB | ||
| 003 Product Ideation Techniques_en.vtt | 5.4 KB | ||
| 003 Roles in AI & Data Teams.mp4 | 13.8 MB | ||
| 003 Roles in AI & Data Teams_en.vtt | 5.5 KB | ||
| 003 SWOT Analysis.mp4 | 10.5 MB | ||
| 003 SWOT Analysis_en.vtt | 4.3 KB | ||
| 003 Selecting a Feedback Metric.mp4 | 10.9 MB | ||
| 003 Selecting a Feedback Metric_en.vtt | 4.6 KB | ||
| 003 User Research Methods.mp4 | 19.6 MB | ||
| 003 User Research Methods_en.vtt | 5.7 KB | ||
| 003 Why-do-87-of-data-science-projects-never-make-it-into-production-.url | 102.4 B | ||
| 004 Building a Hypothesis.mp4 | 12.5 MB | ||
| 004 Building a Hypothesis_en.vtt | 4.9 KB | ||
| 004 Cleaning-Big-Data-Most-Time-Consuming-Least-Enjoyable-Data-Science-Task-Survey-Says.url | 204.8 B | ||
| 004 Compelling Presentations with Storytelling.mp4 | 12.4 MB | ||
| 004 Compelling Presentations with Storytelling_en.vtt | 5 KB | ||
| 004 Complexity vs. Benefit Prioritization.mp4 | 17.3 MB | ||
| 004 Complexity vs. Benefit Prioritization_en.vtt | 6.9 KB | ||
| 004 Crowdsourcing Labeled Data.mp4 | 20.2 MB | ||
| 004 Crowdsourcing Labeled Data_en.vtt | 8 KB | ||
| 004 Data Laws & Regulations.mp4 | 10.8 MB | ||
| 004 Data Laws & Regulations_en.vtt | 4.7 KB | ||
| 004 Developing User Personas.mp4 | 12.9 MB | ||
| 004 Developing User Personas_en.vtt | 5.2 KB | ||
| 004 Explaining Machine Learning.mp4 | 134.2 MB | ||
| 004 Explaining Machine Learning_en.vtt | 7.3 KB | ||
| 004 In-House AI & The Machine Learning Lifecycle.mp4 | 10.2 MB | ||
| 004 In-House AI & The Machine Learning Lifecycle_en.vtt | 4.1 KB | ||
| 004 Managing Team Workflow.mp4 | 9.4 MB | ||
| 004 Managing Team Workflow_en.vtt | 3.8 KB | ||
| 004 Optimizing for Experience.mp4 | 18.1 MB | ||
| 004 Optimizing for Experience_en.vtt | 7.4 KB | ||
| 004 The Role of a Product Manager.mp4 | 14.5 MB | ||
| 004 The Role of a Product Manager_en.vtt | 5.7 KB | ||
| 004 User Feedback Loops.mp4 | 10.5 MB | ||
| 004 User Feedback Loops_en.vtt | 4.5 KB | ||
| 005 Differentiation of a PM in AI & Data.mp4 | 76.2 MB | ||
| 005 Differentiation of a PM in AI & Data_en.vtt | 4 KB | ||
| 005 Dual & Triple-Track Agile.mp4 | 12 MB | ||
| 005 Dual & Triple-Track Agile_en.vtt | 4.7 KB | ||
| 005 Error Recovery.mp4 | 10.4 MB | ||
| 005 Error Recovery_en.vtt | 4.7 KB | ||
| 005 Explaining Deep Learning.mp4 | 15.8 MB | ||
| 005 Explaining Deep Learning_en.vtt | 6 KB | ||
| 005 MVPs & MVDs (Minimum Viable Data).mp4 | 25.4 MB | ||
| 005 MVPs & MVDs (Minimum Viable Data)_en.vtt | 6.9 KB | ||
| 005 New Feature Data.mp4 | 12.7 MB | ||
| 005 New Feature Data_en.vtt | 5.1 KB | ||
| 005 Prototyping with AI.mp4 | 13.2 MB | ||
| 005 Prototyping with AI_en.vtt | 5.2 KB | ||
| 005 Running Effective Meetings.mp4 | 13.8 MB | ||
| 005 Running Effective Meetings_en.vtt | 5.8 KB | ||
| 005 Shadow Deployments.mp4 | 9 MB | ||
| 005 Shadow Deployments_en.vtt | 4 KB | ||
| 005 Testing a Hypothesis.mp4 | 11.3 MB | ||
| 005 Testing a Hypothesis_en.vtt | 4.7 KB | ||
| 005 Timelines & Diminishing Returns.mp4 | 14 MB | ||
| 005 Timelines & Diminishing Returns_en.vtt | 5.8 KB | ||
| 006 AI Business Canvas.mp4 | 18.1 MB | ||
| 006 AI Business Canvas_en.vtt | 4.8 KB | ||
| 006 AI-Canvas-Template.pptx | 386.1 KB | ||
| 006 AI-Canvas.pdf | 390.7 KB | ||
| 006 AcquisitionPurchase Data Collection.mp4 | 10.4 MB | ||
| 006 AcquisitionPurchase Data Collection_en.vtt | 3.9 KB | ||
| 006 Agile & Data Kanban.mp4 | 14.6 MB | ||
| 006 Agile & Data Kanban_en.vtt | 5.8 KB | ||
| 006 Note-12.pdf | 23.7 KB | ||
| 006 Product Management vs. Project Management.mp4 | 12.1 MB | ||
| 006 Product Management vs. Project Management_en.vtt | 4.7 KB | ||
| 006 Setting a Model Performance Metric.mp4 | 14 MB | ||
| 006 Setting a Model Performance Metric_en.vtt | 5.5 KB | ||
| 006 When to use Machine Learning vs. Deep Learning.mp4 | 18 MB | ||
| 006 When to use Machine Learning vs. Deep Learning_en.vtt | 7.4 KB | ||
| 007 Databases, Data Warehouses, & Data Lakes.mp4 | 11.6 MB | ||
| 007 Databases, Data Warehouses, & Data Lakes_en.vtt | 4.6 KB | ||
| 007 Note-13.pdf | 81.2 KB | ||
| 007 Supervised, Unsupervised, & Reinforcement Learning.mp4 | 14.9 MB | ||
| 007 Supervised, Unsupervised, & Reinforcement Learning_en.vtt | 6 KB | ||
| [Tutorialsplanet.NET].url | 102.4 B | ||
| external-links.txt | 204.8 B | ||
| ▲ 159 total files | |||
Udemy - The Product Management for AI & Data Science Course 2023 [TP]
The Complete Course for Becoming a Successful Product Manager in the Field of AI & Data Science
What you'll learn
This course provides a complete overview for a product manager in the field of data science and AI
Learn how to be the bridge between business needs and technically oriented data science and AI personnel
Learn what is the role of a product manager and what is the difference between a product and a project manager
Distinguish between data analysis and data science
Be able to tell the difference between an algorithm and an AI
Distinguish different types of machine learning
Execute business strategy for AI and Data
For more Udemy Courses: https://tutorialsplanet.net
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 527.5 MB | freecoursewb | 3 days | 1 | 12 | |
| 784.3 MB | freecoursewb | 2 weeks | 18 | 6 | |
| 2.2 GB | freecoursewb | 2 weeks | 18 | 7 | |
| 3.7 GB | freecoursewb | 2 weeks | 17 | 3 | |
| 3.3 GB | freecoursewb | 2 weeks | 20 | 2 |
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