[Tutorialsplanet.NET] Udemy - The Product Management for AI & Data Science Course 2023

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[Tutorialsplanet.NET] Udemy - The Product Management for AI & Data Science Course 2023

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文件列表

  • 02 - Key Technological Concepts for AI & Data/004 Explaining Machine Learning.mp4 140.7 MB
  • 02 - Key Technological Concepts for AI & Data/003 A Traditional Algorithm vs. AI.mp4 135.7 MB
  • 01 - Intro to Product Management for AI & Data/001 Introduction.mp4 94.6 MB
  • 01 - Intro to Product Management for AI & Data/005 Differentiation of a PM in AI & Data.mp4 80.0 MB
  • 01 - Intro to Product Management for AI & Data/003 Growing Importance of an AI & Data PM.mp4 71.2 MB
  • 01 - Intro to Product Management for AI & Data/002 Course Overview.mp4 67.0 MB
  • 06 - Product Development for AI & Data/005 MVPs & MVDs (Minimum Viable Data).mp4 26.6 MB
  • 05 - Data Management for AI & Data/001 Data Growth Strategy.mp4 26.0 MB
  • 05 - Data Management for AI & Data/004 Crowdsourcing Labeled Data.mp4 21.2 MB
  • 04 - User Experience for AI & Data/003 User Research Methods.mp4 20.6 MB
  • 06 - Product Development for AI & Data/003 Product Ideation Techniques.mp4 20.6 MB
  • 04 - User Experience for AI & Data/002 Getting to the Core Problem.mp4 20.1 MB
  • 08 - Evaluating Performance/004 Optimizing for Experience.mp4 19.0 MB
  • 03 - Business Strategy for AI & Data/006 AI Business Canvas.mp4 19.0 MB
  • 02 - Key Technological Concepts for AI & Data/006 When to use Machine Learning vs. Deep Learning.mp4 18.9 MB
  • 06 - Product Development for AI & Data/004 Complexity vs. Benefit Prioritization.mp4 18.1 MB
  • 08 - Evaluating Performance/003 Precision, Recall & F1 Score.mp4 17.9 MB
  • 12 - Ethics, Privacy, & Bias/003 AI Amplifying Human Bias.mp4 17.4 MB
  • 02 - Key Technological Concepts for AI & Data/005 Explaining Deep Learning.mp4 16.6 MB
  • 09 - Deployment & Continuous Improvement/001 Model Deployment Methods.mp4 16.5 MB
  • 07 - Building The Model/001 Who Should Buid Your Model.mp4 15.7 MB
  • 02 - Key Technological Concepts for AI & Data/007 Supervised, Unsupervised, & Reinforcement Learning.mp4 15.6 MB
  • 06 - Product Development for AI & Data/001 AI Flywheel Effect.mp4 15.4 MB
  • 06 - Product Development for AI & Data/006 Agile & Data Kanban.mp4 15.4 MB
  • 12 - Ethics, Privacy, & Bias/002 Bad Actors & Security.mp4 15.2 MB
  • 11 - Communication/001 Internal Stakeholder Management.mp4 15.2 MB
  • 01 - Intro to Product Management for AI & Data/004 The Role of a Product Manager.mp4 15.2 MB
  • 03 - Business Strategy for AI & Data/001 AI Business Model Innovations.mp4 15.0 MB
  • 08 - Evaluating Performance/002 The Confusion Matrix.mp4 14.9 MB
  • 07 - Building The Model/006 Setting a Model Performance Metric.mp4 14.7 MB
  • 07 - Building The Model/005 Timelines & Diminishing Returns.mp4 14.7 MB
  • 11 - Communication/002 Setting Data Expectations.mp4 14.5 MB
  • 10 - Managing Data Science & AI Teams/003 Roles in AI & Data Teams.mp4 14.4 MB
  • 11 - Communication/005 Running Effective Meetings.mp4 14.4 MB
  • 07 - Building The Model/003 Machine Learning as a Service (MLaaS).mp4 14.2 MB
  • 10 - Managing Data Science & AI Teams/001 AI Hierarchy of Needs.mp4 14.1 MB
  • 07 - Building The Model/002 Enterpise AI.mp4 13.9 MB
  • 04 - User Experience for AI & Data/005 Prototyping with AI.mp4 13.8 MB
  • 04 - User Experience for AI & Data/004 Developing User Personas.mp4 13.5 MB
  • 05 - Data Management for AI & Data/005 New Feature Data.mp4 13.3 MB
  • 11 - Communication/003 Active Listening & Communication.mp4 13.2 MB
  • 09 - Deployment & Continuous Improvement/002 Monitoring Models.mp4 13.1 MB
  • 03 - Business Strategy for AI & Data/004 Building a Hypothesis.mp4 13.1 MB
  • 11 - Communication/004 Compelling Presentations with Storytelling.mp4 13.0 MB
  • 10 - Managing Data Science & AI Teams/002 AI Within an Organization.mp4 13.0 MB
  • 01 - Intro to Product Management for AI & Data/006 Product Management vs. Project Management.mp4 12.7 MB
  • 08 - Evaluating Performance/001 Dividing Test Data.mp4 12.5 MB
  • 10 - Managing Data Science & AI Teams/005 Dual & Triple-Track Agile.mp4 12.5 MB
  • 04 - User Experience for AI & Data/001 User Experience for Data & AI.mp4 12.5 MB
  • 03 - Business Strategy for AI & Data/002 When to Use AI.mp4 12.3 MB
  • 05 - Data Management for AI & Data/007 Databases, Data Warehouses, & Data Lakes.mp4 12.2 MB
  • 02 - Key Technological Concepts for AI & Data/001 A Product Manager as an Analytics Translator.mp4 11.9 MB
  • 03 - Business Strategy for AI & Data/005 Testing a Hypothesis.mp4 11.8 MB
  • 09 - Deployment & Continuous Improvement/003 Selecting a Feedback Metric.mp4 11.4 MB
  • 12 - Ethics, Privacy, & Bias/004 Data Laws & Regulations.mp4 11.3 MB
  • 03 - Business Strategy for AI & Data/003 SWOT Analysis.mp4 11.1 MB
  • 09 - Deployment & Continuous Improvement/004 User Feedback Loops.mp4 11.0 MB
  • 12 - Ethics, Privacy, & Bias/001 AI User Concerns.mp4 10.9 MB
  • 08 - Evaluating Performance/005 Error Recovery.mp4 10.9 MB
  • 05 - Data Management for AI & Data/006 AcquisitionPurchase Data Collection.mp4 10.9 MB
  • 07 - Building The Model/004 In-House AI & The Machine Learning Lifecycle.mp4 10.7 MB
  • 06 - Product Development for AI & Data/002 Top & Bottom Problem Solving.mp4 10.2 MB
  • 05 - Data Management for AI & Data/003 Company Data.mp4 10.0 MB
  • 10 - Managing Data Science & AI Teams/004 Managing Team Workflow.mp4 9.9 MB
  • 09 - Deployment & Continuous Improvement/005 Shadow Deployments.mp4 9.5 MB
  • 02 - Key Technological Concepts for AI & Data/002 Data Analysis vs. Data Science.mp4 9.4 MB
  • 05 - Data Management for AI & Data/002 Open Data.mp4 9.2 MB
  • 03 - Business Strategy for AI & Data/006 AI-Canvas.pdf 400.1 kB
  • 03 - Business Strategy for AI & Data/006 AI-Canvas-Template.pptx 395.4 kB
  • 08 - Evaluating Performance/003 Note-46.pdf 247.9 kB
  • 08 - Evaluating Performance/002 Note-45.pdf 95.3 kB
  • 02 - Key Technological Concepts for AI & Data/007 Note-13.pdf 83.2 kB
  • 02 - Key Technological Concepts for AI & Data/006 Note-12.pdf 24.2 kB
  • 05 - Data Management for AI & Data/004 Crowdsourcing Labeled Data_en.vtt 8.2 kB
  • 02 - Key Technological Concepts for AI & Data/006 When to use Machine Learning vs. Deep Learning_en.vtt 7.6 kB
  • 08 - Evaluating Performance/004 Optimizing for Experience_en.vtt 7.6 kB
  • 02 - Key Technological Concepts for AI & Data/004 Explaining Machine Learning_en.vtt 7.5 kB
  • 06 - Product Development for AI & Data/004 Complexity vs. Benefit Prioritization_en.vtt 7.1 kB
  • 12 - Ethics, Privacy, & Bias/003 AI Amplifying Human Bias_en.vtt 7.1 kB
  • 06 - Product Development for AI & Data/005 MVPs & MVDs (Minimum Viable Data)_en.vtt 7.1 kB
  • 02 - Key Technological Concepts for AI & Data/003 A Traditional Algorithm vs. AI_en.vtt 6.8 kB
  • 05 - Data Management for AI & Data/001 Data Growth Strategy_en.vtt 6.8 kB
  • 09 - Deployment & Continuous Improvement/001 Model Deployment Methods_en.vtt 6.8 kB
  • 12 - Ethics, Privacy, & Bias/002 Bad Actors & Security_en.vtt 6.2 kB
  • 07 - Building The Model/001 Who Should Buid Your Model_en.vtt 6.2 kB
  • 02 - Key Technological Concepts for AI & Data/007 Supervised, Unsupervised, & Reinforcement Learning_en.vtt 6.1 kB
  • 02 - Key Technological Concepts for AI & Data/005 Explaining Deep Learning_en.vtt 6.1 kB
  • 06 - Product Development for AI & Data/006 Agile & Data Kanban_en.vtt 6.0 kB
  • 11 - Communication/002 Setting Data Expectations_en.vtt 6.0 kB
  • 07 - Building The Model/005 Timelines & Diminishing Returns_en.vtt 6.0 kB
  • 11 - Communication/005 Running Effective Meetings_en.vtt 5.9 kB
  • 11 - Communication/001 Internal Stakeholder Management_en.vtt 5.9 kB
  • 07 - Building The Model/002 Enterpise AI_en.vtt 5.8 kB
  • 01 - Intro to Product Management for AI & Data/004 The Role of a Product Manager_en.vtt 5.8 kB
  • 04 - User Experience for AI & Data/003 User Research Methods_en.vtt 5.8 kB
  • 03 - Business Strategy for AI & Data/001 AI Business Model Innovations_en.vtt 5.8 kB
  • 10 - Managing Data Science & AI Teams/001 AI Hierarchy of Needs_en.vtt 5.7 kB
  • 10 - Managing Data Science & AI Teams/003 Roles in AI & Data Teams_en.vtt 5.7 kB
  • 07 - Building The Model/006 Setting a Model Performance Metric_en.vtt 5.6 kB
  • 06 - Product Development for AI & Data/003 Product Ideation Techniques_en.vtt 5.5 kB
  • 07 - Building The Model/003 Machine Learning as a Service (MLaaS)_en.vtt 5.3 kB
  • 04 - User Experience for AI & Data/002 Getting to the Core Problem_en.vtt 5.3 kB
  • 04 - User Experience for AI & Data/005 Prototyping with AI_en.vtt 5.3 kB
  • 04 - User Experience for AI & Data/004 Developing User Personas_en.vtt 5.3 kB
  • 05 - Data Management for AI & Data/005 New Feature Data_en.vtt 5.2 kB
  • 09 - Deployment & Continuous Improvement/002 Monitoring Models_en.vtt 5.2 kB
  • 08 - Evaluating Performance/001 Dividing Test Data_en.vtt 5.2 kB
  • 10 - Managing Data Science & AI Teams/002 AI Within an Organization_en.vtt 5.1 kB
  • 11 - Communication/003 Active Listening & Communication_en.vtt 5.1 kB
  • 11 - Communication/004 Compelling Presentations with Storytelling_en.vtt 5.1 kB
  • 03 - Business Strategy for AI & Data/004 Building a Hypothesis_en.vtt 5.0 kB
  • 08 - Evaluating Performance/003 Precision, Recall & F1 Score_en.vtt 4.9 kB
  • 01 - Intro to Product Management for AI & Data/001 Introduction_en.vtt 4.9 kB
  • 03 - Business Strategy for AI & Data/006 AI Business Canvas_en.vtt 4.9 kB
  • 03 - Business Strategy for AI & Data/002 When to Use AI_en.vtt 4.9 kB
  • 03 - Business Strategy for AI & Data/005 Testing a Hypothesis_en.vtt 4.9 kB
  • 10 - Managing Data Science & AI Teams/005 Dual & Triple-Track Agile_en.vtt 4.8 kB
  • 12 - Ethics, Privacy, & Bias/004 Data Laws & Regulations_en.vtt 4.8 kB
  • 08 - Evaluating Performance/005 Error Recovery_en.vtt 4.8 kB
  • 01 - Intro to Product Management for AI & Data/006 Product Management vs. Project Management_en.vtt 4.8 kB
  • 05 - Data Management for AI & Data/007 Databases, Data Warehouses, & Data Lakes_en.vtt 4.8 kB
  • 09 - Deployment & Continuous Improvement/003 Selecting a Feedback Metric_en.vtt 4.7 kB
  • 09 - Deployment & Continuous Improvement/004 User Feedback Loops_en.vtt 4.7 kB
  • 04 - User Experience for AI & Data/001 User Experience for Data & AI_en.vtt 4.7 kB
  • 12 - Ethics, Privacy, & Bias/001 AI User Concerns_en.vtt 4.5 kB
  • 03 - Business Strategy for AI & Data/003 SWOT Analysis_en.vtt 4.4 kB
  • 02 - Key Technological Concepts for AI & Data/001 A Product Manager as an Analytics Translator_en.vtt 4.2 kB
  • 07 - Building The Model/004 In-House AI & The Machine Learning Lifecycle_en.vtt 4.2 kB
  • 06 - Product Development for AI & Data/001 AI Flywheel Effect_en.vtt 4.1 kB
  • 09 - Deployment & Continuous Improvement/005 Shadow Deployments_en.vtt 4.1 kB
  • 08 - Evaluating Performance/002 The Confusion Matrix_en.vtt 4.1 kB
  • 01 - Intro to Product Management for AI & Data/005 Differentiation of a PM in AI & Data_en.vtt 4.0 kB
  • 06 - Product Development for AI & Data/002 Top & Bottom Problem Solving_en.vtt 4.0 kB
  • 05 - Data Management for AI & Data/006 AcquisitionPurchase Data Collection_en.vtt 4.0 kB
  • 10 - Managing Data Science & AI Teams/004 Managing Team Workflow_en.vtt 3.9 kB
  • 05 - Data Management for AI & Data/003 Company Data_en.vtt 3.8 kB
  • 05 - Data Management for AI & Data/002 Open Data_en.vtt 3.7 kB
  • 01 - Intro to Product Management for AI & Data/003 Growing Importance of an AI & Data PM_en.vtt 3.7 kB
  • 02 - Key Technological Concepts for AI & Data/002 Data Analysis vs. Data Science_en.vtt 3.5 kB
  • 01 - Intro to Product Management for AI & Data/002 Course Overview_en.vtt 3.3 kB
  • 02 - Key Technological Concepts for AI & Data/external-links.txt 313 Bytes
  • 10 - Managing Data Science & AI Teams/external-links.txt 238 Bytes
  • 01 - Intro to Product Management for AI & Data/external-links.txt 175 Bytes
  • 10 - Managing Data Science & AI Teams/004 Cleaning-Big-Data-Most-Time-Consuming-Least-Enjoyable-Data-Science-Task-Survey-Says.url 169 Bytes
  • 05 - Data Management for AI & Data/external-links.txt 155 Bytes
  • 09 - Deployment & Continuous Improvement/external-links.txt 146 Bytes
  • 05 - Data Management for AI & Data/002 List-of-Open-Data-Sources.url 144 Bytes
  • 0. Websites you may like/[Tutorialsplanet.NET].url 128 Bytes
  • 01 - Intro to Product Management for AI & Data/[Tutorialsplanet.NET].url 128 Bytes
  • 05 - Data Management for AI & Data/[Tutorialsplanet.NET].url 128 Bytes
  • 11 - Communication/[Tutorialsplanet.NET].url 128 Bytes
  • [Tutorialsplanet.NET].url 128 Bytes
  • 02 - Key Technological Concepts for AI & Data/001 Lost-in-Translation.url 125 Bytes
  • 01 - Intro to Product Management for AI & Data/003 Why-do-87-of-data-science-projects-never-make-it-into-production-.url 124 Bytes
  • 07 - Building The Model/external-links.txt 123 Bytes
  • 02 - Key Technological Concepts for AI & Data/001 You-Don-t-Have-to-Be-a-Data-Scientist-to-Fill-This-Must-Have-Analytics-Role.url 122 Bytes
  • 09 - Deployment & Continuous Improvement/001 Hidden-Technical-Debt-in-Machine-Learning-Systems.url 111 Bytes
  • 07 - Building The Model/002 Database-of-Enterprise-AI-Companies.url 61 Bytes
  • 07 - Building The Model/002 TOPBOTS.url 48 Bytes

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