Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems Paperback – 8 Nov. 2022

My son needed this for part of his university course. He was very happy

Used to supplement ML module for university. Got 85% thanks to this book! Very practical and a good reference for popular techniques

Geron is an amazing author. The density of information is so high in this text it’s amazing. Anyone who takes their time and systematically works through this book carefully will make incredible progress in their understanding of and ability to implement machine learning algorithms. If I had to give someone one book to work through to become effective in implementing machine learning techniques in Python this would be it. To get more depth of understanding mathematically you could supplement your learning with Introduction to Statistical Learning by Hastie, Witten et al. Bravo Aurèlien, this is a masterpiece

This is s asubstantial book - over 800 pages and so far there is no useless padding at all. Every page is a gem and full of useful information and insights. Within a week of starting the book, I built my first ML algo that successfully makes predictions on the out-of-sample test set, after many years of trying. So glad I chose this book above others, Would highly recommend for anyone wanting to achieve success with ML.

Great foundation in ML and AI theory and practice. Very practical, a little historical background and plenty of examples.

It's really great and covers most of the stuff.Very few topics are left out, but the most important ones are covered.

This book is always next to my desk, an invaluable book for ML projects.Code examples that work, along with clear text that explains how and why.

This book is pretty great which covers a lot of topics and also takes a lot into consideration about that one doesn't know anything about machine learning. But requires you to already have a good understanding of numpy, pandas and matplotlib.