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This book is pretty much everything you could possibly need for learning ML or DL. It covers EVERYTHING to an extraodinarily practical level of depth (even the topics you might already know have a lot of useful insights that make reading them worth your time) and on top of all GIVES YOU THE EXACT PYTHON CODE to run whatever is being explained at the moment, and under the most streamlined and optimized best practices for both python and the ML/DL libraries at hand. Essential reference book. Highly recommended!
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
Con la terza edizione vengono affrontati praticamente (nel vero senso della parola) tutti gli approcci di apprendimento automatico in maniera chiara e coincisa. Non è consigliato a chi vuole entrare nei dettagli di determinati algoritmi.
Tout ce qu'il vous faut savoir pour débuter dans le domaine du machine learning et deep learning sous python, abordé de manière théorique et pratique avec des exemples concret et du code. C'est vraiment bien écrit et illustré. A acheter sans hésiter si vous voulez vous plonger dans le domaine de l'apprentissage machine.
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.