The Computer Science . Basics of regression analysis" under the authorship of O. E. Lyskova and the team of authors is an important work that immerses the reader in the world of statistics and data analysis. This publication will become an indispensable assistant for both students studying computer science and related disciplines, and for practitioners seeking to deepen their knowledge in the field of regression analysis. Regression analysis is a powerful tool that allows you to identify dependencies between variables, predict future values and analyze data. The book details the basic concepts and methods of regression analysis, ranging from simple linear models to more complex multidimensional approaches. The reader will get acquainted with the basics of mathematical statistics necessary for understanding regression models, as well as with practical examples of their application in various fields, such as economics, medicine, sociology and others. Who can like this edition? First of all, it will be useful for students and graduate students studying computer science, statistics and economics . The book will also interest practicing analysts, researchers and specialists working with big data, as well as anyone who wants to learn how to apply regression analysis in their professional activities. Thanks to the accessible style of presentation and illustrative examples, even those who are just beginning to get acquainted with this topic will be able to easily assimilate the material. The topics raised in the book cover a wide range of issues related to data analysis. The authors emphasize the importance of choosing the right model, interpreting the results and assessing the quality of models. The book also addresses issues related to data bias and possible errors in analysis, making it particularly relevant in today's world, where data plays a key role in decision-making. The author’s style and approach to the presentation of the material make this book not only useful, but also fascinating. About. E. Lyskov is known for his ability to explain complex concepts easily, which makes his work popular among students and practitioners. In addition to his Foundations of Regression Analysis, he is also the author of other significant works in the field of computer science and statistics, which have earned recognition both in Russia and abroad. If you are looking for a book that will help you understand the intricacies of regression analysis, teach you how to apply the knowledge gained in practice and open up new horizons in the world of data, then Computer Science The basics of regression analysis" is exactly what you need. It will become your reliable companion in the study of computer science and statistics, help develop analytical thinking and teach you to make informed decisions based on data. Do not miss the opportunity to immerse yourself in the fascinating world of regression analysis and discover new horizons in the field of computer science with the help of this book. It will become not only a teaching tool, but also a source of inspiration for all who seek knowledge and development in the field of data analysis.