Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Usually I ordered lots of the book , but it's the best quality book . I saw in review about the page quality, but it's one of the best book I purchase. Also content of book is good , must recommended if you are planing to learn ML

Sebastian is a great teacher and it reflects in the book. Very clear explanation with code. A must buy for every ML person

I had read Geron and ISLR before reading, so I can't say how this book would be for beginners but it is definitely great for intermediate level. Covers more math than both and more range of topics.

It covers so much,from pytorch basics to parallel computing to gnn(graph neural networks)

Liked it, took it specially for pytorch coverage. Explanation is clear and detail..

Covers all the machine learning topics precisely along with the code. I have a decade of experience in ML and have gone through a lot of content/books but nothing comes close to as good as this book.

The fundamentals are covered with an amazing code base to follow through. The math behind the algorithms is explained well. Amazing job by the authors to keep it concise yet making it comprehensive.

The content of the book is awesome, but the pages keep coming out. I ordered a replacement and tried hard to keep the pages from falling off, but still could not prevent it. Finally decided to return the hard copy of the book and order it on kindle instead;

I have used Sebastian Raschka's books in my teaching at the University Of Oxford before As usual, this book is excellent in its technical detail and thoroughness. However, it could also help to make PyTorch more mainstream. PyTorch has been gaining traction, but still mostly in the academic / research community. PyTorch has some excellent libraries (such as fast.ai) but still the world of PyTorch is a bit away from traditional Python for ML But by taking an approach of Scikit-Learn and PyTorch, this book could introduce PyTorch to a larger/mainstream audience of SKLearn users using a familiar paradigm. On first impressions, technically, the book is very much an enhancement of the previous book from Sebastian also (ex now includes transformers and GANs). Finally, I am also interested in PyTorch from the perspective of the metaverse. So, all in all an excellent - must read book - another great reference book from the author

Veryyyyyyyyy goood

everyone need this book i loved

The book is as described.

Es un excelente libro que nos permite aprender sobre ML y aplicarlo sin dejar de lado la teoría! Si lo lees completo, es como tomar un curso de ML bastante bueno, y estás listo para un rol de junior o más en el campo. Obvio, sin dejar de lado las bases matemáticas (que también las explica).