Python and Machine Learning: Machine and Deep Learning Using Python, scikit-learn, and TensorFlow

The book is a comprehensive guide to machine and deep learning using the Python language. It serves as both a step-by-step tutorial and a reference that you will constantly refer to while building machine learning systems. The book is filled with clear explanations, visual representations, working examples, and thoroughly covers all important machine learning techniques. While some books teach you to follow instructions, Raschka and Mirjalili explain the principles underlying machine learning, allowing you to build models and applications independently. The third edition of the book has been updated to account for the TensorFlow 2 library version and the latest additions to scikit-learn. It has been expanded to cover the two most modern machine learning techniques: reinforcement learning and generative adversarial networks. This book — your companion in machine learning using Python, whether you are a Python application developer unfamiliar with machine learning or a developer looking to deepen your knowledge in modern areas.