Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili
Dive into machine learning and deep learning with Python through this practical guide. Learn to develop models using PyTorch and Scikit-Learn, covering essential techniques for building, training, and evaluating solutions. Ideal for programmers seeking to apply these libraries in real-world scenarios, it combines theory with hands-on examples to build proficiency in modern ML practices.
About This Book
This book provides a thorough introduction to developing machine learning and deep learning models using Python, focusing on the popular libraries PyTorch and Scikit-Learn.
Readers will explore essential techniques for building, training, and evaluating models suitable for various applications.
The content emphasizes practical implementation, helping learners apply concepts directly in Python environments.
Designed for those with basic programming knowledge, it bridges foundational theory with hands-on coding practices.
By the end, users will be equipped to create effective machine learning solutions using these powerful tools.
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