Machine Learning Books

Welcome to our curated list of machine learning books. Whether you're just starting out or looking to deepen your understanding, these resources will help you on your journey.

• Books for Beginners

  • "Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili
  • "Machine Learning Yearning" by Andrew Ng
  • "The Hundred-Page Machine Learning Book" by Andriy Burkov

• Advanced Reading

  • "Pattern Recognition and Machine Learning" by Christopher Bishop
  • "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto

• Books on Python for ML

  • "Automate the Boring Stuff with Python" by Al Sweigart
  • "Fluent Python" by Luciano Ramalho
  • "Effective Python: 90 Specific Ways to Write Better Python" by Brett Slatkin

For more in-depth learning, you might want to check out our Machine Learning Tutorials.

Machine Learning Book