15 Best Machine Learning Books

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Concepts, Tools, and Techniques to Build Intelligent Systems

by Aurélien Géron

The Hundred-Page Machine Learning Book

by Andriy Burkov

The Elements of Statistical Learning

Data Mining, Inference, and Prediction

by Trevor Hastie

Machine Learning

by Tom M. Mitchell

Pattern Recognition and Machine Learning

by Christopher M. Bishop

Deep Learning

by Ian Goodfellow

Introduction to Machine Learning with Python

A Guide for Data Scientists

by Andreas C. Müller

Applied Predictive Modeling

by Max Kuhn

Artificial Intelligence

A Modern Approach

by Stuart Russell

Data Mining

Practical Machine Learning Tools and Techniques

by Ian H. Witten

Machine Learning for Absolute Beginners

Python for Data Science, Book 3

by Oliver Theobald

Machine Learning for Hackers

Case Studies and Algorithms to Get You Started

by Drew Conway

Natural Language Processing with Python

Analyzing Text with the Natural Language Toolkit

by Steven Bird

Python Machine Learning

Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow 2

by Sebastian Raschka

Speech and Language Processing

by Daniel Jurafsky