
Premium
Opening Credits
1/19/2026
Chapter 1: What It Means For A Machine To Learn
1/19/2026
Chapter 2: Seeing The World As Data
1/19/2026
Chapter 3: Practice Makes Pattern How Models Learn From Examples
1/19/2026
Chapter 4: Supervised Learning Teaching With Examples
1/19/2026
Chapter 5: Unsupervised Learning Finding Patterns Without Answers
1/19/2026
Chapter 6: Reinforcement Learning Learning By Trial And Reward
1/19/2026
Chapter 7: How Simple Models Make Decisions
1/19/2026
Chapter 8: Measuring Performance And Making Tradeoffs
1/19/2026
Chapter 9: From Ideas To Impact Real Applications And Project Life
1/19/2026
Chapter 10: Limits Responsibilities And Your Path Forward
1/19/2026
Closing Credits
1/19/2026