Introduction to Machine Learning: A Friendly, Step‑by‑Step Guide to Core Concepts, Key Algorithms, and Real‑World Applications for Absolute Beginners

Simon Keller

Master the fundamentals of artificial intelligence and machine learning without decoding dense technical jargon. Perfect for your morning commute, this encouraging audio experience translates intimidating concepts into clear, everyday language....

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Opening Credits

1/13/2026

Chapter 1: So What Exactly Is Machine Learning

1/13/2026

Chapter 2: From Rules To Learning A New Way To Program Computers

1/13/2026

Chapter 3: Data The Fuel And Foundation Of Machine Learning

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Chapter 4: Learning With Answers Supervised Learning Made Simple

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Chapter 5: Finding Patterns Without Answers Unsupervised Learning And Friends

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Chapter 6: Meet The Algorithms Lines Trees Clusters And Simple Brains

1/13/2026

Chapter 7: Is It Any Good How We Judge Machine Learning Models

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Chapter 8: When Learning Goes Wrong Overfitting And Other Traps

1/13/2026

Chapter 9: From Idea To Product The Machine Learning Project Journey

1/13/2026

Chapter 10: Machine Learning In The Real World Ethics Tools And Your Next Steps

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Closing Credits

1/13/2026