N2O is an easy-to-use and open source library that supports a large number of operating systems and programming languages, and is scalable for big data processing. This book will teach you how to use machine learning algorithms implemented in N2O, focusing on the most important aspects of productive work. Deep learning, random forest, learning from unallocated data, and model ensembles are considered. Two additional applications have been added to the Russian edition describing the latest N2O modules - Deep Water and Stacked Ensemble. They can also be found in the https:github.comstatist-bhfzh2o_book_translate repository. The publication is intended for data scientists who want to explore and put into practice a relatively new but promising tool - the N2O library.