Sebastian Raschka & Yuxi (Hayden) Liu 
Machine Learning with PyTorch and Scikit-Learn 
Develop machine learning and deep learning models with Python

Machine Learning with Py Torch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with Py Torch. 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 Py Torch?

Py Torch 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 Py Torch and how to create models using popular libraries, such as Py Torch Lightning and Py Torch 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 Py Torch 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.