The book "Fundamentals of the theory of Markov processes" by E. B. Dynkina is a fascinating and deep dive into the world of probabilistic models, which are widely used in various fields of science and technology. If you are interested in mathematics, statistics or probability theory, then this work will be a real discovery for you. The author, known for his works in the field of probability theory and mathematical statistics, offers readers a unique view of Markov processes, making complex concepts accessible and understandable. Markov processes are not just abstract mathematical constructs. They describe many real-world phenomena, from financial markets to biological systems. In his book, Dynkin examines the basic principles underlying these processes and shows how they can be applied to model different situations. The reader will learn about concepts such as states, transitions, and probabilities, as well as how to build and analyze models based on Markov processes. This makes the book useful not only for undergraduate and graduate students, but also for practitioners working in the fields of data analysis, economics, and engineering. Who can like this book? First of all, it will be of interest to students and teachers engaged in mathematics, statistics or related disciplines . And not just for them. If you work in data analysis, finance, or even the social sciences, understanding Markov processes can greatly expand your horizons. The book is written in accessible language, which makes it easy to absorb material even for those who do not have deep knowledge in mathematics. The topics raised in the book are very diverse and relevant. Dynkin not only explains the theoretical aspects of Markov processes, but also discusses their practical application. It shows how these models can help solve real-world problems, such as process optimization, forecasting, and decision-making under uncertainty. This makes the book especially valuable for those who want not only to learn the theory, but also to learn how to apply it in practice. Dynkin's style is distinguished by clarity and logical presentation. He skillfully combines theoretical calculations with practical examples, which allows the reader not only to understand the material, but also to see its application in real life. The author also includes a lot of tasks and exercises in the book, which makes it an excellent teaching aid. Among other well-known works of Dynkin can be noted "Probability Theory" and "Mathematical Statistics", which also deserve attention and will help to deepen knowledge in these areas. If you are looking for books on probability theory, Markov processes or mathematical statistics, then “Fundamentals of Markov processes theory” will be an excellent choice. This work will not only enrich your knowledge, but also inspire further research in the world of probabilistic models. Read, analyze and apply the knowledge gained and you will see how Markov processes can change your perception of the world around you