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Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn

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

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Profile Icon Sebastian Raschka Profile Icon Yuxi (Hayden) Liu Profile Icon Vahid Mirjalili
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (94 Ratings)
Paperback Feb 2022 774 pages 1st Edition
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Sebastian Raschka Profile Icon Yuxi (Hayden) Liu Profile Icon Vahid Mirjalili
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (94 Ratings)
Paperback Feb 2022 774 pages 1st Edition
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 25, 2022
Length: 774 pages
Edition : 1st
Language : English
ISBN-13 : 9781801819312
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What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
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Product Details

Publication date : Feb 25, 2022
Length: 774 pages
Edition : 1st
Language : English
ISBN-13 : 9781801819312
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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(94 Ratings)
5 star 78.7%
4 star 6.4%
3 star 2.1%
2 star 4.3%
1 star 8.5%
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