This book is a wonderful introduction to the theory and practice of solving problems using neural networks; I recommend it to anyone interested in mastering practical machine learning. Pete Worden, Head of the TensorFlow Mobile Development Team Thanks to a series of outstanding achievements, deep learning has significantly strengthened the entire field of machine learning. Nowadays, even programmers who know almost nothing about this technology can use simple and effective tools to implement programs that are capable of learning from data. The new edition of the best-selling book, based on concrete examples, a minimum of theory and ready-made Python frameworks at the production level, will help you get an intuitive understanding of the concepts and tools designed to build intelligent systems. You will master a wide range of techniques that can be quickly used in practice. Given the presence of exercises in each chapter designed to consolidate what you have learned, you only need programming experience to get started. All code is available on GitHub. It has been updated with TensorFlow 2 and the latest version of Scikit-Learn.