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Guide to Machine Learning: A Clear, Practical Introduction to Modern AI for Curious Beginners-logo

Guide to Machine Learning: A Clear, Practical Introduction to Modern AI for Curious Beginners

James Whitford

Conquer tech anxiety and master modern machine learning with this jargon-free guide to artificial intelligence. Whether you are upskilling for a career transition or simply trying to understand the algorithms shaping our world, this empowering audio...

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Opening Credits

1/15/2026
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Chapter 1: From Magic to Method What Machine Learning Really Is

1/15/2026
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Chapter 2: Seeing the World as Data Turning Experience into Examples

1/15/2026
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Chapter 3: Features, Targets, and Patterns How Machines Learn from Examples

1/15/2026
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Chapter 4: Training, Testing, and Trust Teaching Machines Without Overteaching

1/15/2026
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Chapter 5: Supervised Learning Teaching by Example

1/15/2026
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Chapter 6: Unsupervised Learning and Clustering Finding Structure Without Labels

1/15/2026
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Chapter 7: Learning by Trial and Error A Gentle Look at Reinforcement Learning

1/15/2026
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Chapter 8: From Raw Data to Useful Inputs Collecting, Cleaning, and Preparing

1/15/2026
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Chapter 9: From Prototype to Product Ethics, Bias, and Real World Impact

1/15/2026
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Chapter 10: Your Next Steps Learning, Tools, and Simple Projects to Try

1/15/2026
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Closing Credits

1/15/2026