Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems Paperback – 31 Oct. 2022
描述
Full description not available
评论
M**T
The `True` book is in colour and so far an excellent read
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 :)
C**Y
The ONLY book you need for ML
Perfect for deeply understanding ML and AI.
C**T
Everything you need to know to get started in machine learning
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!
D**H
Excellent
My son needed this for part of his university course. He was very happy
M**A
So far so good!
Used to supplement ML module for university. Got 85% thanks to this book! Very practical and a good reference for popular techniques
A**Y
Great Book
It's really great and covers most of the stuff.Very few topics are left out, but the most important ones are covered.
A**R
Best practical machine learning book on the market for Python
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
A**1
Packed with hard facts, amazing tips and techniques - no padding
This is s asubstantial book - over 800 pages and so far there is no useless padding at all. Every page is a gem and full of useful information and insights. Within a week of starting the book, I built my first ML algo that successfully makes predictions on the out-of-sample test set, after many years of trying. So glad I chose this book above others, Would highly recommend for anyone wanting to achieve success with ML.
