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

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  • 文件大小:1GB
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文件列表

  1. 02 - Key Technological Concepts for AI & Data/004 Explaining Machine Learning.mp4 134MB
  2. 02 - Key Technological Concepts for AI & Data/003 A Traditional Algorithm vs. AI.mp4 129MB
  3. 01 - Intro to Product Management for AI & Data/001 Introduction.mp4 90MB
  4. 01 - Intro to Product Management for AI & Data/005 Differentiation of a PM in AI & Data.mp4 76MB
  5. 01 - Intro to Product Management for AI & Data/003 Growing Importance of an AI & Data PM.mp4 68MB
  6. 01 - Intro to Product Management for AI & Data/002 Course Overview.mp4 64MB
  7. 06 - Product Development for AI & Data/005 MVPs & MVDs (Minimum Viable Data).mp4 25MB
  8. 05 - Data Management for AI & Data/001 Data Growth Strategy.mp4 25MB
  9. 05 - Data Management for AI & Data/004 Crowdsourcing Labeled Data.mp4 20MB
  10. 04 - User Experience for AI & Data/003 User Research Methods.mp4 20MB
  11. 06 - Product Development for AI & Data/003 Product Ideation Techniques.mp4 20MB
  12. 04 - User Experience for AI & Data/002 Getting to the Core Problem.mp4 19MB
  13. 08 - Evaluating Performance/004 Optimizing for Experience.mp4 18MB
  14. 03 - Business Strategy for AI & Data/006 AI Business Canvas.mp4 18MB
  15. 02 - Key Technological Concepts for AI & Data/006 When to use Machine Learning vs. Deep Learning.mp4 18MB
  16. 06 - Product Development for AI & Data/004 Complexity vs. Benefit Prioritization.mp4 17MB
  17. 08 - Evaluating Performance/003 Precision, Recall & F1 Score.mp4 17MB
  18. 12 - Ethics, Privacy, & Bias/003 AI Amplifying Human Bias.mp4 17MB
  19. 02 - Key Technological Concepts for AI & Data/005 Explaining Deep Learning.mp4 16MB
  20. 09 - Deployment & Continuous Improvement/001 Model Deployment Methods.mp4 16MB
  21. 07 - Building The Model/001 Who Should Buid Your Model.mp4 15MB
  22. 02 - Key Technological Concepts for AI & Data/007 Supervised, Unsupervised, & Reinforcement Learning.mp4 15MB
  23. 06 - Product Development for AI & Data/001 AI Flywheel Effect.mp4 15MB
  24. 06 - Product Development for AI & Data/006 Agile & Data Kanban.mp4 15MB
  25. 12 - Ethics, Privacy, & Bias/002 Bad Actors & Security.mp4 15MB
  26. 11 - Communication/001 Internal Stakeholder Management.mp4 14MB
  27. 01 - Intro to Product Management for AI & Data/004 The Role of a Product Manager.mp4 14MB
  28. 03 - Business Strategy for AI & Data/001 AI Business Model Innovations.mp4 14MB
  29. 08 - Evaluating Performance/002 The Confusion Matrix.mp4 14MB
  30. 07 - Building The Model/006 Setting a Model Performance Metric.mp4 14MB
  31. 07 - Building The Model/005 Timelines & Diminishing Returns.mp4 14MB
  32. 11 - Communication/002 Setting Data Expectations.mp4 14MB
  33. 10 - Managing Data Science & AI Teams/003 Roles in AI & Data Teams.mp4 14MB
  34. 11 - Communication/005 Running Effective Meetings.mp4 14MB
  35. 07 - Building The Model/003 Machine Learning as a Service (MLaaS).mp4 14MB
  36. 10 - Managing Data Science & AI Teams/001 AI Hierarchy of Needs.mp4 13MB
  37. 07 - Building The Model/002 Enterpise AI.mp4 13MB
  38. 04 - User Experience for AI & Data/005 Prototyping with AI.mp4 13MB
  39. 04 - User Experience for AI & Data/004 Developing User Personas.mp4 13MB
  40. 05 - Data Management for AI & Data/005 New Feature Data.mp4 13MB
  41. 11 - Communication/003 Active Listening & Communication.mp4 13MB
  42. 09 - Deployment & Continuous Improvement/002 Monitoring Models.mp4 13MB
  43. 03 - Business Strategy for AI & Data/004 Building a Hypothesis.mp4 12MB
  44. 11 - Communication/004 Compelling Presentations with Storytelling.mp4 12MB
  45. 10 - Managing Data Science & AI Teams/002 AI Within an Organization.mp4 12MB
  46. 01 - Intro to Product Management for AI & Data/006 Product Management vs. Project Management.mp4 12MB
  47. 08 - Evaluating Performance/001 Dividing Test Data.mp4 12MB
  48. 10 - Managing Data Science & AI Teams/005 Dual & Triple-Track Agile.mp4 12MB
  49. 04 - User Experience for AI & Data/001 User Experience for Data & AI.mp4 12MB
  50. 03 - Business Strategy for AI & Data/002 When to Use AI.mp4 12MB
  51. 05 - Data Management for AI & Data/007 Databases, Data Warehouses, & Data Lakes.mp4 12MB
  52. 02 - Key Technological Concepts for AI & Data/001 A Product Manager as an Analytics Translator.mp4 11MB
  53. 03 - Business Strategy for AI & Data/005 Testing a Hypothesis.mp4 11MB
  54. 09 - Deployment & Continuous Improvement/003 Selecting a Feedback Metric.mp4 11MB
  55. 12 - Ethics, Privacy, & Bias/004 Data Laws & Regulations.mp4 11MB
  56. 03 - Business Strategy for AI & Data/003 SWOT Analysis.mp4 11MB
  57. 09 - Deployment & Continuous Improvement/004 User Feedback Loops.mp4 10MB
  58. 12 - Ethics, Privacy, & Bias/001 AI User Concerns.mp4 10MB
  59. 08 - Evaluating Performance/005 Error Recovery.mp4 10MB
  60. 05 - Data Management for AI & Data/006 AcquisitionPurchase Data Collection.mp4 10MB
  61. 07 - Building The Model/004 In-House AI & The Machine Learning Lifecycle.mp4 10MB
  62. 06 - Product Development for AI & Data/002 Top & Bottom Problem Solving.mp4 10MB
  63. 05 - Data Management for AI & Data/003 Company Data.mp4 10MB
  64. 10 - Managing Data Science & AI Teams/004 Managing Team Workflow.mp4 9MB
  65. 09 - Deployment & Continuous Improvement/005 Shadow Deployments.mp4 9MB
  66. 02 - Key Technological Concepts for AI & Data/002 Data Analysis vs. Data Science.mp4 9MB
  67. 05 - Data Management for AI & Data/002 Open Data.mp4 9MB
  68. 03 - Business Strategy for AI & Data/006 AI-Canvas.pdf 391KB
  69. 03 - Business Strategy for AI & Data/006 AI-Canvas-Template.pptx 386KB
  70. 08 - Evaluating Performance/003 Note-46.pdf 242KB
  71. 08 - Evaluating Performance/002 Note-45.pdf 93KB
  72. 02 - Key Technological Concepts for AI & Data/007 Note-13.pdf 81KB
  73. 02 - Key Technological Concepts for AI & Data/006 Note-12.pdf 24KB
  74. 05 - Data Management for AI & Data/004 Crowdsourcing Labeled Data_en.vtt 8KB
  75. 02 - Key Technological Concepts for AI & Data/006 When to use Machine Learning vs. Deep Learning_en.vtt 7KB
  76. 08 - Evaluating Performance/004 Optimizing for Experience_en.vtt 7KB
  77. 02 - Key Technological Concepts for AI & Data/004 Explaining Machine Learning_en.vtt 7KB
  78. 06 - Product Development for AI & Data/004 Complexity vs. Benefit Prioritization_en.vtt 7KB
  79. 12 - Ethics, Privacy, & Bias/003 AI Amplifying Human Bias_en.vtt 7KB
  80. 06 - Product Development for AI & Data/005 MVPs & MVDs (Minimum Viable Data)_en.vtt 7KB
  81. 02 - Key Technological Concepts for AI & Data/003 A Traditional Algorithm vs. AI_en.vtt 7KB
  82. 05 - Data Management for AI & Data/001 Data Growth Strategy_en.vtt 7KB
  83. 09 - Deployment & Continuous Improvement/001 Model Deployment Methods_en.vtt 7KB
  84. 12 - Ethics, Privacy, & Bias/002 Bad Actors & Security_en.vtt 6KB
  85. 07 - Building The Model/001 Who Should Buid Your Model_en.vtt 6KB
  86. 02 - Key Technological Concepts for AI & Data/007 Supervised, Unsupervised, & Reinforcement Learning_en.vtt 6KB
  87. 02 - Key Technological Concepts for AI & Data/005 Explaining Deep Learning_en.vtt 6KB
  88. 06 - Product Development for AI & Data/006 Agile & Data Kanban_en.vtt 6KB
  89. 11 - Communication/002 Setting Data Expectations_en.vtt 6KB
  90. 07 - Building The Model/005 Timelines & Diminishing Returns_en.vtt 6KB
  91. 11 - Communication/005 Running Effective Meetings_en.vtt 6KB
  92. 11 - Communication/001 Internal Stakeholder Management_en.vtt 6KB
  93. 07 - Building The Model/002 Enterpise AI_en.vtt 6KB
  94. 01 - Intro to Product Management for AI & Data/004 The Role of a Product Manager_en.vtt 6KB
  95. 04 - User Experience for AI & Data/003 User Research Methods_en.vtt 6KB
  96. 03 - Business Strategy for AI & Data/001 AI Business Model Innovations_en.vtt 6KB
  97. 10 - Managing Data Science & AI Teams/001 AI Hierarchy of Needs_en.vtt 6KB
  98. 10 - Managing Data Science & AI Teams/003 Roles in AI & Data Teams_en.vtt 6KB
  99. 07 - Building The Model/006 Setting a Model Performance Metric_en.vtt 6KB
  100. 06 - Product Development for AI & Data/003 Product Ideation Techniques_en.vtt 5KB
  101. 07 - Building The Model/003 Machine Learning as a Service (MLaaS)_en.vtt 5KB
  102. 04 - User Experience for AI & Data/002 Getting to the Core Problem_en.vtt 5KB
  103. 04 - User Experience for AI & Data/005 Prototyping with AI_en.vtt 5KB
  104. 04 - User Experience for AI & Data/004 Developing User Personas_en.vtt 5KB
  105. 05 - Data Management for AI & Data/005 New Feature Data_en.vtt 5KB
  106. 09 - Deployment & Continuous Improvement/002 Monitoring Models_en.vtt 5KB
  107. 08 - Evaluating Performance/001 Dividing Test Data_en.vtt 5KB
  108. 10 - Managing Data Science & AI Teams/002 AI Within an Organization_en.vtt 5KB
  109. 11 - Communication/003 Active Listening & Communication_en.vtt 5KB
  110. 11 - Communication/004 Compelling Presentations with Storytelling_en.vtt 5KB
  111. 03 - Business Strategy for AI & Data/004 Building a Hypothesis_en.vtt 5KB
  112. 08 - Evaluating Performance/003 Precision, Recall & F1 Score_en.vtt 5KB
  113. 01 - Intro to Product Management for AI & Data/001 Introduction_en.vtt 5KB
  114. 03 - Business Strategy for AI & Data/006 AI Business Canvas_en.vtt 5KB
  115. 03 - Business Strategy for AI & Data/002 When to Use AI_en.vtt 5KB
  116. 03 - Business Strategy for AI & Data/005 Testing a Hypothesis_en.vtt 5KB
  117. 10 - Managing Data Science & AI Teams/005 Dual & Triple-Track Agile_en.vtt 5KB
  118. 12 - Ethics, Privacy, & Bias/004 Data Laws & Regulations_en.vtt 5KB
  119. 08 - Evaluating Performance/005 Error Recovery_en.vtt 5KB
  120. 01 - Intro to Product Management for AI & Data/006 Product Management vs. Project Management_en.vtt 5KB
  121. 05 - Data Management for AI & Data/007 Databases, Data Warehouses, & Data Lakes_en.vtt 5KB
  122. 09 - Deployment & Continuous Improvement/003 Selecting a Feedback Metric_en.vtt 5KB
  123. 09 - Deployment & Continuous Improvement/004 User Feedback Loops_en.vtt 5KB
  124. 04 - User Experience for AI & Data/001 User Experience for Data & AI_en.vtt 5KB
  125. 12 - Ethics, Privacy, & Bias/001 AI User Concerns_en.vtt 4KB
  126. 03 - Business Strategy for AI & Data/003 SWOT Analysis_en.vtt 4KB
  127. 02 - Key Technological Concepts for AI & Data/001 A Product Manager as an Analytics Translator_en.vtt 4KB
  128. 07 - Building The Model/004 In-House AI & The Machine Learning Lifecycle_en.vtt 4KB
  129. 06 - Product Development for AI & Data/001 AI Flywheel Effect_en.vtt 4KB
  130. 09 - Deployment & Continuous Improvement/005 Shadow Deployments_en.vtt 4KB
  131. 08 - Evaluating Performance/002 The Confusion Matrix_en.vtt 4KB
  132. 01 - Intro to Product Management for AI & Data/005 Differentiation of a PM in AI & Data_en.vtt 4KB
  133. 06 - Product Development for AI & Data/002 Top & Bottom Problem Solving_en.vtt 4KB
  134. 05 - Data Management for AI & Data/006 AcquisitionPurchase Data Collection_en.vtt 4KB
  135. 10 - Managing Data Science & AI Teams/004 Managing Team Workflow_en.vtt 4KB
  136. 05 - Data Management for AI & Data/003 Company Data_en.vtt 4KB
  137. 05 - Data Management for AI & Data/002 Open Data_en.vtt 4KB
  138. 01 - Intro to Product Management for AI & Data/003 Growing Importance of an AI & Data PM_en.vtt 4KB
  139. 02 - Key Technological Concepts for AI & Data/002 Data Analysis vs. Data Science_en.vtt 3KB
  140. 01 - Intro to Product Management for AI & Data/002 Course Overview_en.vtt 3KB
  141. 02 - Key Technological Concepts for AI & Data/external-links.txt 313B
  142. 10 - Managing Data Science & AI Teams/external-links.txt 238B
  143. 01 - Intro to Product Management for AI & Data/external-links.txt 175B
  144. 10 - Managing Data Science & AI Teams/004 Cleaning-Big-Data-Most-Time-Consuming-Least-Enjoyable-Data-Science-Task-Survey-Says.url 169B
  145. 05 - Data Management for AI & Data/external-links.txt 155B
  146. 09 - Deployment & Continuous Improvement/external-links.txt 146B
  147. 05 - Data Management for AI & Data/002 List-of-Open-Data-Sources.url 144B
  148. 0. Websites you may like/[Tutorialsplanet.NET].url 128B
  149. 01 - Intro to Product Management for AI & Data/[Tutorialsplanet.NET].url 128B
  150. 05 - Data Management for AI & Data/[Tutorialsplanet.NET].url 128B
  151. 11 - Communication/[Tutorialsplanet.NET].url 128B
  152. [Tutorialsplanet.NET].url 128B
  153. 02 - Key Technological Concepts for AI & Data/001 Lost-in-Translation.url 125B
  154. 01 - Intro to Product Management for AI & Data/003 Why-do-87-of-data-science-projects-never-make-it-into-production-.url 124B
  155. 07 - Building The Model/external-links.txt 123B
  156. 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 122B
  157. 09 - Deployment & Continuous Improvement/001 Hidden-Technical-Debt-in-Machine-Learning-Systems.url 111B
  158. 07 - Building The Model/002 Database-of-Enterprise-AI-Companies.url 61B
  159. 07 - Building The Model/002 TOPBOTS.url 48B