Machine Learning Books
Machine Learning books explore the science of building systems that can learn and improve from data without explicit programming.
Pattern Recognition and Machine Learning – Christopher M. Bishop
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow – Aurélien
Machine Learning: A Probabilistic Perspective – Kevin P. Murphy
Understanding Machine Learning: From Theory to Algorithms – Shai Shalev-Shwartz
Machine Learning for Absolute Beginners – Oliver Theobald
Python Machine Learning – Sebastian Raschka & Vahid Mirjalili
Introduction to Machine Learning with Python – Andreas C. Müller & Sarah Guido
The Hundred-Page Machine Learning Book – Andriy Burkov
Elements of Statistical Learning – Trevor Hastie, Robert Tibshirani & Jerome Friedman
