Information-Theoretic Methods in Data Science

Discover the groundbreaking book, Information-Theoretic Methods in Data Science, authored by Miguel R. D. Rodrigues and published by Cambridge University Press in 2021. This comprehensive volume spans 560 pages and offers a unified exploration of the intersection between information theory and the latest advancements in data science.

Written in a clear and engaging tutorial style, this book delves into essential topics such as data acquisition, representation, analysis, and communication. It serves as an invaluable resource for graduate students and researchers in the fields of information theory, signal processing, and machine learning, equipping them with the necessary tools to navigate the complexities of data science.

Enhance your understanding of these critical concepts and elevate your research with this essential addition to your library.