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15 Best Machine Learning Books

We analyzed 5+ expert sources, curated book lists, and recommendations from successful people to find the 15 best machine learning books according to the internet — not just one person's opinion. Each book on this list was mentioned by at least two independent sources, and the ranking is based on how frequently each title appears across all sources studied. This consensus-based approach ensures you get recommendations backed by multiple experts, not a single reviewer's bias.

Goal: Find the best Machine Learning books according to the internet (not just one person's opinion).

Method:

  1. Search for "best machine learning books" and study the top 5+ pages.
  2. Add only the books mentioned 2+ times.
  3. Rank the results neatly here.

15 Best Machine Learning Books

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1

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

Concepts, Tools, and Techniques to Build Intelligent Systems

by Aurélien Géron
2

The Hundred-Page Machine Learning Book

by Andriy Burkov
3

The Elements of Statistical Learning

Data Mining, Inference, and Prediction

by Trevor Hastie

Also recommended by:

Nassim Taleb

4

Machine Learning

by Tom M. Mitchell
5

Pattern Recognition and Machine Learning

by Christopher M. Bishop
6

Deep Learning

by Ian Goodfellow
7

Introduction to Machine Learning with Python

A Guide for Data Scientists

by Andreas C. Müller
8

Applied Predictive Modeling

by Max Kuhn
9

Artificial Intelligence

A Modern Approach

by Stuart Russell
10

Data Mining

Practical Machine Learning Tools and Techniques

by Ian H. Witten
11

Machine Learning for Absolute Beginners

Python for Data Science, Book 3

by Oliver Theobald
12

Machine Learning for Hackers

Case Studies and Algorithms to Get You Started

by Drew Conway
13

Natural Language Processing with Python

Analyzing Text with the Natural Language Toolkit

by Steven Bird
14

Python Machine Learning

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

by Sebastian Raschka
15

Speech and Language Processing

by Daniel Jurafsky

Sources

Edited by

Richard Reis

Software engineer whose passion for tracking book recommendations from podcasts inspired the creation of MRB.

Anurag Ramdasan

Lead investor at 3one4 Capital whose startup expertise and love for books helped shaped MRB and its growth.

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15 Best Machine Learning Books (2026)