Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Third Edition (Full Colour Print)
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Third Edition (Full Colour Print)

产品编号: 497406048
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描述

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Third Edition (Full Colour Print)

评论

A**A

Best book on the subject. Love it

This is an awesome book. Indepth. HIghly quality print. and excellent content. Loved reading it. It is so awesome that u will get ur concepts thoroghly cleared. Go for it.

A**L

Best quality Book sellers

Best quality book and very useful

V**A

Original Print

Fine quality, coloured print received.

M**S

Book should be packaged safely

The book corners got folded. Since it was not packaged safely. The book content is good and the seller needs to take care when packaging. He needs to take care since it is costly.

R**.

Must to have book

It's one of the best book to start your ml, dl journey. This will enable you to build ml and dl application on basic to advanced topics. Building neural network architectures, handling datasets, and tons of methodologies to select right activation function, initializer, building advance architectures. Even after having 4years of experience in machine learning I learnt so many things from this book.But for more advanced topics like transformers, llm, advanced computer vision, reinforcement learning, generative ai related topics this book will only give you the basic intuition not the in detail explanation. So you can set your expectations accordingly while purchasing this book.

N**A

Good

Good

V**L

hands-on approach

This book is an absolute gem for anyone interested in machine learning and AI. It’s not just packed with theory, but it also focuses heavily on practical implementation using popular library like Scikit-Learn, Keras, and TensorFlow.

S**Y

Good.

Good

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