Python and machine learning: machine and deep learning using Python, Scikit-Learn and Tensorflow 2

The book is a comprehensive guide to machine and deep learning using the Python language. It serves both a step -by -step textbook and a reference book that you will constantly turn to during the construction of machine learning systems. The book is filled with clear explanations, visual ideas, working examples and reveals in detail all important methods of machine learning. While some books teach you to follow the instructions, Rashka and Mirjalili set out the principles underlying machine learning, which will allow you to independently build models and applications. The third edition of the book is updated to take into account the version of the Tensorflow 2 library and the latest additions to Scikit-LEARN. It is expanded for the coverage of the two most modern machine learning methods: training with reinforcement and generating adversarial networks. This book is your fellow traveler in machine learning using Python, whether you are a developer of application in Python, not familiar with machine learning, or a developer who wants to deepen their knowledge in modern areas.