39 books
—
50 voters

Goodreads helps you keep track of books you want to read.

Start by marking “Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems” as Want to Read:

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

by

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.

The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Pyth ...more

The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Pyth ...more

Paperback, 856 pages

Published
October 22nd 2019
by O'Reilly Media

## Friend Reviews

To see what your friends thought of this book,
please sign up.

## Reader Q&A

To ask other readers questions about
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow,
please sign up.

Be the first to ask a question about Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow

## Community Reviews

Showing 1-30

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

This book really showed me what I was missing: context. It doesn't just demonstrate different tools, it gives you a framework that you can apply to any problem (chapter 2) and how to think about what you're doing in each phase of an ML project.

It doesn't baby you on the math, but it doesn't go deeper than it needs to either. I ...more

This is a very practical overview of machine learning techniques using Python. The first couple books I read on it included stuff like "how to design machine learning algorithms". This book is more about showing the huge volume of algorithms that are already developed and easy to access. Pretty much every optimization and tweak you might think of is there, you just need ...more

Nevertheless, this is not for beginner. You must be confident to read and code in Python also with main scientific libraries like numpy, matplotlib. More importantly, good mathematics knowledge is important, so it's better to review linear algebra, calculus, probability theory and statistics beforehand.

The book consists of two parts:

1. Machine Learnin ...more

Sometimes the author gets a bit bogged down on ...more

Disclaimer: I have read the Scikit-Learn portion in full, and the Keras and Tensorflow portion through Convolutional Neural Networks, which I am using in an imaging project.

The author crams a lot of material in a short space and expects you to pick up *all* that he's putting down. Even though this takes a more hands-on approach as compared to theoretical juggernauts, the author presents enough theory to ground the practical aspects.

A lot of the tips and tri ...more

When I was in my second year in University, I decided to learn Machine Learning, and every page suggested this book. Nevertheless I bought it, and it turns out the book is super helpful. You get your hands on real projects, data, you build real applications, you use the model to run on your own dataset. The book covers most of the fields in ML, from traditional supervised and unsupervised learning to deep learning like Neural network, ...more

Nov 30, 2020
Albert
added it

I can't say that this is for beginners. I've come up to regression chapter and finished it, I copied the code and make it run but I can't say that I understand all the information provided. I'm a programmer and still didn't get lots of ideas.

And when I tried the Coursera online course, and finished the first course out of 4. I've understand it very well. It explains little by little the concept of Machine Learning.

And after that I come back to this book and things makes sense now.

So for those be ...more

And when I tried the Coursera online course, and finished the first course out of 4. I've understand it very well. It explains little by little the concept of Machine Learning.

And after that I come back to this book and things makes sense now.

So for those be ...more

One annoying thing about the book: the author loves the word "simply". To do anything, "you simply do this" or "you simply do that." It gets rather tedious after you read that word over and over. I think, for the next edition, the author ...more

This book finally got me started on machine learning - something I have not managed with a lot of other resources. It covers a lot of ground, both in theory and the practical application. Recommended. Just make sure that you do not buy the Kindle version, as others pointed out (I bought the hardcover).

There're some tricks and best practices inside this book that can be the secret weapon to your model.

I highly recommend this book for programmers who want to taste the favor of ML and DL. ...more

There are no discussion topics on this book yet.
Be the first to start one »

## Goodreads is hiring!

## News & Interviews

Kazuo Ishiguro insists he’s an optimist about technology.
“I'm not one of these people who thinks it's going to come and destroy us,” he...

197 likes · 23 comments

No trivia or quizzes yet. Add some now »