Machine learning book recommendations

  1. The Hundred-Page Machine Learning Book by Andriy Burkov - Best machine learning overview
  2. Machine Learning For Absolute Beginners by Oliver Theobald - Best for absolute beginners
  3. Machine Learning for Hackers by Drew Conway and John Myles White - Best for programmers (who enjoy practical case studies)
  4. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Geron Aurelien - Best for those who know Python
  5. Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville - Best book on deep learning
  6. An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani - Best for a statistics approach
  7. Programming Collective Intelligence by Toby Segaran - Best guide for practical application
  8. Fundamentals of Machine Learning for Predictive Data Analytics by John D. Kelleher, Brian Mac Namee, and Aoife D’Arcy - Best for an analytics approach
  9. Machine Learning for Humans by Vishal Maini and Samer Sabri - Best for a free resource

Source: 9 Machine Learning Books for Beginners: a 2025 Guide - Coursera