Machine Learning with PyTorch and Scikit-Learn Book Reviews

AUTHOR
Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili
SCORE
0
TOTAL RATINGS
80

Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili Book Summary

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.

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Book Name Machine Learning with PyTorch and Scikit-Learn
Genre Computers & Internet
Published
Language English
E-Book Size 64.72 MB

Machine Learning with PyTorch and Scikit-Learn (Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili) Book Reviews 2024

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Summary of Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili

The Machine Learning with PyTorch and Scikit-Learn book written by Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili was published on 25 February 2022, Friday in the Computers & Internet category. A total of 80 readers of the book gave the book 0 points out of 5.

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