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

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

After going through many different data-science textbooks, I've encountered two that are by far the most useful. One is "Deep Learning with Python" by François Chollet (the creator of Keras). The other is this work, by Aurélien Géron. This work in particular is extremely well-written. It is very clear, well-organized, and the author has made a strong effort to keep up with the latest developments in the field and appropriately update the material. The corresponding notebooks on GitHub are of similar high-quality. As a small note, my partner has the Japanese version of this book (2nd edition), and can attest that the translation quality is very good.

Correct book version, well packed and delivered as expected.

Good

It is recommended by everyone and it is the best. The cover was damaged

Excellent book for beginners! Easy to follow with complete practice data and code

Bom material e conteúdo muito enriquecedor

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.

This is a big 835 page tome - I have yet to deeply read it all! A quality print from O'Reilly in its third edition (2023), its 19 sections takes us in good detail through the modern AI landscape with clear explanations using just the essential mathematical support. I particularly like the excellent illustrations/diagrams and numerous coding examples in Python and its supportive environment. Included is a decently detailed index and exercises for the brave reader. This book will remain a useful reference for the foreseeable future. Great value.