Artificial intelligence is becoming an integral attribute of the modern world, driven by technology and data. It is intensively used in areas such as search engines, pattern recognition, robotics, self-driving cars, etc. This book explores various scenarios taken from real life. After reading it, you will know which artificial intelligence algorithms should be used in a given context and learn how to write functional code. We'll start by covering general AI concepts before moving on to more advanced topics such as extreme random forests, hidden Markov models, genetic algorithms, convolutional neural networks, and more. This book is intended for programmers who write code in Python and would like to use artificial intelligence algorithms to create application programs. The book is written so that the material presented is accessible even to those who are just starting to work with Python, but a good knowledge of the Python language will undoubtedly come in handy when studying the examples. The book will also be useful for experienced Python programmers seeking to master artificial intelligence techniques. You'll learn how to make informed decisions when choosing the right algorithms, as well as how to implement those algorithms to achieve the best results. If you want to create multi-purpose applications for processing information contained in images, text, voice and other data, then this book will be a reliable help for you.