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 o