
Data and Algorithms: A Practical Introduction to How Machines Learn, Decide, and Predict
Robert Klein
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Opening Credits
1/11/2026
Chapter 1: Seeing the World as Data
1/11/2026
Chapter 2: From Messy Reality to Usable Data
1/11/2026
Chapter 3: What Algorithms Really Are
1/11/2026
Chapter 4: When Algorithms Learn From Examples
1/11/2026
Chapter 5: Finding Patterns Without Being Told What to Look For
1/11/2026
Chapter 6: Teaching Machines with Feedback Loops
1/11/2026
Chapter 7: How We Judge and Trust Models
1/11/2026
Chapter 8: When Algorithms Are Unfair or Unsafe
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Chapter 9: Privacy Control and the Data We Leave Behind
1/11/2026
Chapter 10: Working Alongside Algorithms
1/11/2026
Closing Credits
1/11/2026