The book "Intellectual data analysis" edited by Grigoriev L. and . and other authors is a fascinating and deep immersion into the world of modern technologies of data processing and analysis With the rapid development of information technology and the huge amount of data that is generated daily, this work becomes especially relevant. The book is addressed to both information technology professionals and those who are just beginning their journey in data analysis, including undergraduates, graduate students and practicing analysts. In the first part of the book, the authors examine in detail the theoretical foundations of data mining. Here you will find explanations of key concepts such as machine learning, big data processing, and statistical analysis techniques. These topics are revealed taking into account the latest achievements of science and technology, which makes the material relevant and useful for practical application. Each chapter is filled with examples that help the reader better understand how theoretical aspects are implemented in practice. The book not only describes the methods of data analysis, but also raises important issues related to the ethical aspects of data use. In an environment where data is becoming the new gold, it is important to understand how its use can affect society and individual rights. The authors emphasize the need to comply with ethical norms and laws when working with data, which makes the book especially important for those who strive not only for a professional, but also for a socially responsible approach in their activities. Who is this book intended for? First of all, it will be of interest to students and graduate students studying information technology, statistics and related disciplines. It will also be a useful resource for practitioners working in data analysis, marketing, finance and other areas where large amounts of information processing is required. If you are passionate about big data, machine learning or just want to expand your knowledge in this area, then this book will be a real find for you. The style of the authors is distinguished by clarity and accessibility, which makes it easy to perceive even the most complex concepts. They use a lot of illustrations and examples from real practice, which makes the material lively and fascinating. In addition, many of the authors are recognized experts in their field, which adds additional value to the book. Among other well-known works related to the topic of data analysis, we can mention "