PyTorch and Scikit-Learn for Machine Learning: A Python Guide: Unleashing the Power of Deep Learning and Traditional Algorithms eBook : Reto, Nathan: Amazon.co.uk: Kindle Store

PyTorch and Scikit-Learn for Machine Learning: A Python Guide is the ideal resource for both aspiring and experienced machine learning practitioners who want to learn how to effectively utilize the popular PyTorch and Scikit-Learn libraries in their projects. The book covers the fundamental concepts of machine learning and deep learning, providing clear and concise explanations that are easy to understand. With a focus on hands-on implementation, the book provides practical guidance for building and deploying machine learning models using PyTorch and Scikit-Learn. Readers will learn how to use these libraries to build complex models, preprocess and clean data, and evaluate the performance of their models. The book also covers advanced topics such as deep reinforcement learning and transfer learning, allowing readers to expand their knowledge and skills.