The book “Theory of Pattern Recognition in Economic Research” by Boris Rozin is a fascinating and in-depth study that opens new horizons in understanding economic processes through the prism of modern technologies. In an era when data is the new gold and analytics is the key to success, Rosin’s work is becoming an indispensable tool for researchers, students and practitioners in economics and related disciplines. In his book, the author offers readers a unique look at how pattern recognition techniques can be applied to analyze economic data. It not only describes theoretical aspects, but also demonstrates how these methods can be used to solve real-world problems. The reader is immersed in the world of algorithms and models that help to identify hidden patterns in large amounts of information. This is especially true in the modern world, where the amount of data is growing every day, and the ability to analyze them is becoming an important skill. The book will be of interest to a wide range of readers: from undergraduate and graduate students studying economics and statistics, to practicing economists and analysts seeking to improve their skills in working with data. If you are passionate about new technologies, artificial intelligence and their application in the economy, then this work will be a real discovery for you. Rosin masterfully combines theory and practice, which makes the material accessible and understandable, even for those who are just starting their way in this field. The topics raised in the book cover a wide range of issues, from the basics of pattern recognition to their application in economic analysis. The author discusses how data visualization and machine learning algorithms can help in forecasting economic trends and making informed decisions. It also raises important questions about how new technologies can change traditional approaches to economics research, inviting readers to reflect on the future of this science. The style of Boris Rozin is clear and logical, which makes it easy to assimilate complex concepts. It uses many examples and illustrations to make the material more visual and understandable. This makes the book not only useful, but also fascinating to read. Rosin is the author of several other papers on economics and statistics, and his experience in these areas allows him to delve deeply into the topics under consideration. “The theory of pattern recognition in economic research” is not just a textbook, but a real find for anyone who wants to be at the forefront of economic science. The book inspires new ideas and approaches, encouraging the reader not only to study, but also to apply the knowledge gained in practice. If you are looking for something that will help you better understand how modern technology affects the economy, then this work will be your faithful companion in this fascinating journey. Do not miss the opportunity to expand your horizons and deepen your knowledge in the field of economics and data analysis Boris Rosin’s book is the key to understanding how pattern recognition can change our perception of economic processes and help us make better decisions.