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

What are the key takeaways from Machine Learning with PyTorch and Scikit-Learn?

This book takes you on a journey from the origins of machine learning to the latest deep learning architectures. Through conceptual and practical examples, you'll develop a repertoire of techniques that allow you to solve a wide range of predictive modeling tasks, including tabular, image, and text data.

PyTorch is a very powerful and versatile tool, and deep learning naturally requires very flexible building blocks. Hence, PyTorch can sometimes be very verbose compared to traditional machine learning libraries such as scikit-learn. In this book, we explain how PyTorch works and cover all the essential parts. However, we also focus on code readability to ensure you don’t get overwhelmed.

The book takes a deep dive into the underlying methods and does not shy away from explaining fundamental deep learning architectures and concepts from scratch. Our objective is to teach you deep learning and see how you can put it into practice using PyTorch rather than the other way around.