Machine Learning Books

Introduction to Statistical Learning (ISL) by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

• Considered the "bible" for an introduction to Machine Learning.
• Provides a comprehensive overview of introductory ML concepts.

The Hundred-Page Machine Learning Book & Machine Learning Engineering by Andriy Burkov

• These books provide practical insights into machine learning beyond just training models.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron & Deep Learning for Coders with Fastai and PyTorch by Howard and Gugger

• Offers a practical approach to machine learning using Python libraries.
• Includes topics like regression, classification, neural networks, and deep learning.
• Recommended for hands-on learning and practical application.

"Computer Systems That Learn" by Weiss and Kulikowski & "Data Mining: Practical Machine Learning Tools and Techniques" by Witten, Frank, Hall, & Pal

• Recommended resources for learning machine learning concepts and techniques.
• Covers practical tools, techniques, and fundamentals of machine learning.

Neural Networks from Scratch by sentdex

• A book focusing on neural networks built from scratch.
• Recommended for understanding neural network fundamentals.

Pattern Recognition and Machine Learning by Christopher M. Bishop

• Offers in-depth explanations and a broad range of covered topics in classical ML.
• Provides a strong understanding of fundamentals, theory, and math in machine learning.

Other Recommended Resources

• "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
• "Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili

Additional Resources

• "The StatQuest Illustrated Guide To Machine Learning Paperback by Josh Starmer" - A highly recommended book for learning machine learning in an easier format.
• AI Canon by a16z - A curated list of AI learning resources.

By exploring these books and resources, individuals can gain a solid foundation and practical experience in machine learning concepts and techniques.