Feb 25, 2022 · What’s new in this PyTorch book from the Python Machine Learning series? We gave the 3rd edition of Python Machine Learning a big overhaul by converting the deep …

Feb 25, 2022 · 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, …

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. …

In a way that's approachable yet deeply informative, author Aurelien Geron delivers the ultimate introductory guide to machine learning and deep learning. With a focus on clear explanations …

The first half of the book introduces readers to machine learning using scikit-learn, the defacto approach for working with tabular datasets. Then, the second half of this book focuses on …

Aug 23, 2024 · Develop Machine Learning and Deep Learning Models with Python by Sebastian Raschka , Yuxi (Hayden) Liu , Vahid Mirjalili , and Dmytro Dzhulgakov ★ ★ ★ ★ ★ 5.0 (1 rating) ·

Machine Learning with Pytorch and Scikit-learn is a book that covers the core concepts of Machine Learning going in depth into specific frameworks or libraries like Pytorch and Scikit …

This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s...

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 …