Machine Learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Here are some popular books on Machine Learning that you might find helpful:

  • "Pattern Recognition and Machine Learning" by Christopher Bishop
    This book provides a comprehensive introduction to the field of pattern recognition and machine learning.

    Christopher_Bishop_Pattern_Recognition_and_Machine_Learning

  • "The Hundred-Page Machine Learning Book" by Andriy Burkov
    This book is a concise introduction to the field of machine learning, covering a wide range of topics in just 100 pages.

  • "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
    This is a comprehensive book on deep learning, a subfield of machine learning that has seen significant progress in recent years.

    Deep_Learning_Book_Cover

  • "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
    This book is a practical guide to implementing machine learning algorithms in Python using popular libraries like Scikit-Learn, Keras, and TensorFlow.

For more resources on machine learning, you can visit our Machine Learning Documentation.

If you are interested in exploring more books on machine learning, check out the following: