Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems

This book has made me to really machine learning. Also, the practices have been helpful. I am about to pick it up and start studying again.

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 a bible for machine learning. It covers so many types of models, including theory and practical applications with code examples. Just about every detail you need to get started is here! Keraz/tensorflow has updated recently though, so unless there's a new edition of the book it might be a bit dated, but I would still recommend it!

Have not made it through much of the book at all yet, but I just want to say - I bought my book from amazon and it is good paper and colour figures. I think the people who have the black and white versions may have been scammed - and if any of you read this, you should ask for a refund! I will try to update again when I have got past more than the intro :)

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

Great book. A lot of inspiring ideas to those who are new to the ml field

Perfect for deeply understanding ML and AI.

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

Bom material e conteúdo muito enriquecedor

Best book period Suggested by ML/AI engineers from FAANG companies

plenty of detail on all topics. Quite heavy and bulky so try not to have to take it places too much to avoid damaging it or your back lol

Ottimo libro per chi vuole padroneggiare il machine learning e il deep learning in modo pratico. Gli esempi con scikit-learn aiutano a capire bene i concetti di base, mentre le parti su Keras e TensorFlow mostrano come costruire e addestrare reti neurali anche complesse. L’autore riesce a spiegare con chiarezza temi tecnici come regularization, ottimizzazione e reti convoluzionali, senza mai risultare pesante. Una guida aggiornata, solida e ricca di codice, perfetta per chi lavora già con Python e vuole applicare davvero le tecniche di AI nei propri progetti.