The Computer Science . Basics of regression analysis" edited by O. E. Lyskova is a unique guide that immerses the reader in the world of statistics and data analysis. This publication will become an indispensable assistant for students, graduate students and anyone interested in modern methods of information processing and data analysis. With the rapid development of technology and an increase in the volume of information, the ability to work with data is becoming a necessary skill in a variety of fields - from business to science. The main theme of the book is regression analysis, which is one of the key tools in statistics. The authors consider in detail both theoretical aspects and practical applications of regression analysis, which makes the material accessible and understandable. Readers will be able to learn how to build models, interpret results, and apply them to real-world tasks. The book offers not only theoretical knowledge, but also practical tasks, which allows you to consolidate the acquired skills. This book will be especially interesting for students of the faculties of economics, mathematics, computer science and related specialties . It will also attract the attention of professionals working in data analysis, marketing and sociology. People seeking to improve their skills in statistics and analysis will find many useful tips and examples in it. The topics raised in the book cover a wide range of issues, including methods for evaluating and testing hypotheses, selection of variables, and analysis of residues. The authors emphasize the importance of choosing the right model and its interpretation, which is especially true in an environment where data-based decision-making is becoming an increasingly common practice. The book also addresses issues related to data quality, which is an important aspect in any study. The style of presentation of the material in the book is distinguished by clarity and accessibility. The authors strive to convey complex concepts in a simple and understandable language, which makes the text easy to understand. This is especially important for those who are just starting to get acquainted with regression analysis. The book is filled with examples from real practice, which allows readers to see how theoretical aspects are applied in life. About. E. Lyskov is a well-known author in the field of computer science and statistics, who has already managed to prove himself thanks to his works. His other well-known works are also devoted to data analysis and statistics, and many of them have become classics in their field. Readers familiar with his previous work will find the "Basics of Regression Analysis" familiar style and approach to learning. The book will be useful not only for those who study regression analysis, but also for those who want to deepen their knowledge in the field of computer science in general. It will be an excellent addition to the library of any student or specialist seeking professional growth. When data becomes the new gold, the ability to analyze and interpret them opens up new horizons and opportunities for readers. If you are looking for a book that will help you understand the basics of regression analysis and teach you how to apply this knowledge in practice, then "Computer Science. The basics of regression analysis" is exactly what you need. Do not miss the opportunity to immerse yourself in the world of data and statistics, which opens up unlimited opportunities for analysis and making informed decisions.