Information Theory

Discover the essential principles of information theory with Information Theory by Yury Polyanskiy, published by Cambridge University Press in 2025. This comprehensive hardback edition spans 748 pages and serves as an enthusiastic introduction to the subject, starting from classical Shannon theory and progressing to contemporary applications in statistical learning.

With over 210 student exercises, this book emphasizes practical applications across statistics, machine learning, and modern communication theory. To enhance the learning experience, it also includes online instructor solutions, making it an invaluable resource for both students and educators alike. Dive into the world of information theory and unlock the potential of data-driven insights with this expertly crafted guide.