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

by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

artificial intelligence Machine Learning Deep Learning Python Programming
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Machine Learning with PyTorch and Scikit-Learn is a practical Python-focused guide to developing machine learning and deep learning models. It introduces readers to two important frameworks while supporting hands-on learning and experimentation. The book is designed for readers who want to build their understanding through model development.

About This Book

Machine Learning with PyTorch and Scikit-Learn focuses on developing machine learning and deep learning models with Python.

The book covers two widely used frameworks: PyTorch and Scikit-Learn.

It is suited to readers seeking a practical introduction to building and working with machine learning models.

Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili present the subject for study, experimentation, and hands-on development.

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