---
product_id: 414130263
title: "Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python"
price: "€ 101.96"
currency: EUR
in_stock: true
reviews_count: 13
url: https://www.desertcart.at/products/414130263-machine-learning-with-pytorch-and-scikit-learn-develop-machine-learning
store_origin: AT
region: Austria
---

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

**Price:** € 101.96
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
- **How much does it cost?** € 101.96 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/414130263-machine-learning-with-pytorch-and-scikit-learn-develop-machine-learning)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Description

This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features: - Learn applied machine learning with a solid foundation in theory - Clear, intuitive explanations take you deep into the theory and practice of Python machine learning - Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book Description: Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What You Will Learn: - Explore frameworks, models, and techniques for machines to learn from data - Use scikit-learn for machine learning and PyTorch for deep learning - Train machine learning classifiers on images, text, and more - Build and train neural networks, transformers, and boosting algorithms - Discover best practices for evaluating and tuning models - Predict continuous target outcomes using regression analysis - Dig deeper into textual and social media data using sentiment analysis Who this book is for: If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you'll need a good understanding of calculus, as well as linear algebra. Table of Contents - Giving Computers the Ability to Learn from Data - Training Simple Machine Learning Algorithms for Classification - A Tour of Machine Learning Classifiers Using Scikit-Learn - Building Good Training Datasets - Data Preprocessing - Compressing Data via Dimensionality Reduction - Learning Best Practices for Model Evaluation and Hyperparameter Tuning (N.B. Please use the Read Sample option to see further chapters)

Review: Print quality is awesome - 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
Review: Great book - Sebastian is a great teacher and it reflects in the book. Very clear explanation with code. A must buy for every ML person

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #43,495 in Books ( See Top 100 in Books ) #5 in Operating Systems Books #201 in Computer Science Books |
| Customer Reviews | 4.4 out of 5 stars 475 Reviews |

## Images

![Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python - Image 1](https://m.media-amazon.com/images/I/615IIVepfjL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Print quality is awesome
*by A***R on 15 October 2024*

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

### ⭐⭐⭐⭐⭐ Great book
*by A***R on 28 May 2024*

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

### ⭐⭐⭐⭐⭐ Great intermediate level book
*by Y***H on 2 December 2023*

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.

## Frequently Bought Together

- Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Build a Large Language Model (From Scratch)

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*Product available on Desertcart Austria*
*Store origin: AT*
*Last updated: 2026-05-17*