Understanding Machine Learning: A Friendly, No-Math Guide to How Computers Learn, Make Predictions, and Shape Everyday Life

Thomas Kessler

Decode the magic of artificial intelligence and machine learning without touching a single line of complex computer code. Transform your daily commute into an empowering journey of technological discovery. Grasp exactly how algorithms turn messy data...

Premium Chapters

Premium

Opening Credits

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Chapter 1: When Machines Seem To Think

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Chapter 2: Data The Raw Material Of Machine Learning

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Chapter 3: From Messy Reality To Useful Clues Features And Representations

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Chapter 4: Models As Habitual Guessers How Machines Form Hunches

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Chapter 5: Practice Makes Better Training And Learning From Examples

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Chapter 6: Teaching With Answers Supervised Learning In Daily Life

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Chapter 7: Learning Without A Teacher Unsupervised And Hidden Patterns

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Chapter 8: Trial And Error Learning Reinforcement And Decision Making Over Time

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Chapter 9: When Machines Misjudge Evaluation Failure Bias And Real World Consequences

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Chapter 10: Living With Learning Machines Today And Tomorrow

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Closing Credits

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