Machine Learning Books for Beginners and Experts
1. Hands-on ML with Scikit-Learn, Keras & TensorFlow
As one of the most popular ML books, this offers the best practical introduction to ML and emphasizes enforcing ML programs with Scikit-Learn, Keras, and TensorFlow2.
2. Python Machine Learning By Example
This book introduces ML and Python and walks you through the setup process. Several projects are included, and you'll enjoy developing mechanics of ML algorithms.
3. The Hundred-Page Machine Learning Book
With 100+ pages, this book elucidates ML concepts very well. First ever easy-to-read ML book to include maths and cover a broad range of ML topics in an organized way without compromising quality.
4. Introduction to Machine Learning with Python
The book will help you develop successful ML applications using Python and the Scikit-Learn library. Learn basic concepts and applications in a simple way and upgrade your ML skills.
5. Deep Learning (Adaptive Computation and ML Series)
Known as the Bible of Deep Learning, this book will help you to master deep learning concepts. The book presents a few technical topics filled with mathematics and deep generative models.
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