---
product_id: 49891093
title: "Hands–On Machine Learning with Scikit–Learn and TensorFlow"
price: "1592 DH"
currency: MAD
in_stock: true
reviews_count: 13
url: https://www.desertcart.ma/products/49891093-hands-on-machine-learning-with-scikit-learn-and-tensorflow
store_origin: MA
region: Morocco
---

# Hands–On Machine Learning with Scikit–Learn and TensorFlow

**Price:** 1592 DH
**Availability:** ✅ In Stock

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- **What is this?** Hands–On Machine Learning with Scikit–Learn and TensorFlow
- **How much does it cost?** 1592 DH with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

Buy Hands–On Machine Learning with Scikit–Learn and TensorFlow by Geron, Aurelien (ISBN: 9781491962299) from desertcart's Book Store. Everyday low prices and free delivery on eligible orders.

Review: Great introduction, better than online resources I've used - Having just finished chapter 2, I'm finding this book goes into a lot of detail. Online courses I've taken go through a couple of steps to prepare the data, but this book really takes you through in much more depth. It shows you how to write custom transformers your data and how to make a pipeline and shows you how to evaluate your model as well. I'm really enjoying the book and I think anyone else who knows how to program already and wants to pick up machine learning should definitely pick up this book.
Review: Three thumbs up - This book is a fantastic introduction to TensorFlow and pretty modern neural network techniques. I was a little worried buying this book that it would focus too much on Scikit Learn, but this is not the case. This book is approximately 50:50 Scikit and TensorFlow. I bought this book as I was using TensorFlow and neural networks for my Masters Thesis and it delivered exactly what I needed to kick start my research. A pretty concise summary of some methods and what to use to get started. It is an easy read and can be consumed pretty fast if you are even vaguely familiar with the underlying theory I wish I had more hands so I could give this book three thumbs up.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | 337,827 in Books ( See Top 100 in Books ) 358 in Computer Information Systems |
| Customer reviews | 4.5 4.5 out of 5 stars (1,108) |
| Dimensions  | 17.78 x 3.28 x 23.34 cm |
| ISBN-10  | 1491962291 |
| ISBN-13  | 978-1491962299 |
| Item weight  | 962 g |
| Language  | English |
| Print length  | 543 pages |
| Publication date  | 24 Mar. 2017 |
| Publisher  | O′Reilly |

## Images

![Hands–On Machine Learning with Scikit–Learn and TensorFlow - Image 1](https://m.media-amazon.com/images/I/91S7m84AG-L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Great introduction, better than online resources I've used
*by J***. on 17 February 2019*

Having just finished chapter 2, I'm finding this book goes into a lot of detail. Online courses I've taken go through a couple of steps to prepare the data, but this book really takes you through in much more depth. It shows you how to write custom transformers your data and how to make a pipeline and shows you how to evaluate your model as well. I'm really enjoying the book and I think anyone else who knows how to program already and wants to pick up machine learning should definitely pick up this book.

### ⭐⭐⭐⭐⭐ Three thumbs up
*by M***B on 26 July 2017*

This book is a fantastic introduction to TensorFlow and pretty modern neural network techniques. I was a little worried buying this book that it would focus too much on Scikit Learn, but this is not the case. This book is approximately 50:50 Scikit and TensorFlow. I bought this book as I was using TensorFlow and neural networks for my Masters Thesis and it delivered exactly what I needed to kick start my research. A pretty concise summary of some methods and what to use to get started. It is an easy read and can be consumed pretty fast if you are even vaguely familiar with the underlying theory I wish I had more hands so I could give this book three thumbs up.

### ⭐⭐⭐⭐ Could have been 5*
*by M***Z on 7 August 2018*

5* for the first half of the book, scikit learn. 3* for the second half, Tensor Flow. Nice examples with Jupyter notebooks. Good mix of practical with theoretical. The scikit learn section is a great reference, nice detailed explanation with good references for further reading to deepen your knowledge. The tensor flow part is weaker as examples become more complex. Chollet’s book Deep Learning with Python, which uses Keras is much stronger, as the examples are easier to understand as Keras is a simple layer over tensor flow to ease the use. Also Chollet explains the concepts better and nicely annotates his code. Buy this book for scikit learn and overall best practise for machine learning and data science. Buy Chollet’s Deep Learning using Python for practical deep learning itself. Overall still a practical book with Jupyter Notebook supplementary material.

## Frequently Bought Together

- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Introduction to Machine Learning with Python: A Guide for Data Scientists
- Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming

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*Product available on Desertcart Morocco*
*Store origin: MA*
*Last updated: 2026-04-23*