Grokking Machine Learning, Second Edition

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Luis G. Serrano
  • MEAP began December 2025
  • Last updated May 2026
  • Publication in December 2026 (estimated)
  • ISBN 9781633434547
  • 525 pages (estimated)
Included with a Manning Online subscription
  • printed in black & white
free previous edition eBook included
catalog / Data Science / Machine Learning
resources: Source code Book forum Source code on GitHub Why Machine Learning Feels So Intimidating at First Who Is Grokking Machine Learning Really For? Why ML Fundamentals Still Matter in the Age of LLMs What’s New in Grokking Machine Learning, Second Edition? Why Visual Intuition Matters in Machine Learning Overfitting Explained in Simple Terms How to Remember AI Concepts for the Long Term Bias vs. Variance — Without the Bullseye What Will You Be Able to Do After Reading This Book? Why Neural Networks Feel Like Magic How Much Math Do You Really Need for Machine Learning?

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Look inside
Grokking Machine Learning, Second Edition contains fresh new coverage of the most exciting recent advances in machine learning, including LLMs, transformers, and generative AI.

  • A whole new chapter on generative AI, showing how large language models write text and diffusion models create images
  • An intuitive visual tour of the transformer architecture that powers modern AI
  • Clear explanations of how LLMs are trained, and what fine-tuning does
  • Expanded coverage of XGBoost, and an updated XGBoost code notebook
  • New exercises, math, and fully revamped examples!
  • New recommended learning resources, including new courses and a learning hub for going further
  • Fully updated content for the latest innovations!

about the reader

For readers who know basic Python. No machine learning knowledge is necessary.

about the author

Luis G. Serrano is an artificial intelligence scientist, educator, and popularizer. Previously, he was a Machine Learning Engineer at Google and Lead Artificial Intelligence Educator at Apple.
Are you looking for the earlier edition? Grokking Machine Learning

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