Join our mailing list
Get exclusive deals and learn about new products!
Reliable shipping
Flexible returns
This book provides readers with the fundamentals of information theoretic techniques for statistical data science analyses and for characterizing the behavior and performance of a learning agent outside of the standard results on communications and compression fundamental limits. Readers will benefit from the presentation of information theoretic quantities, definitions, and results that provide or could provide insights into data science and learning.
Published by: Springer
Publication Date: 2025-08-07
Format: Paperback
ISBN-13: 9783031653902
DOI: 10.1007/978-3-031-65388-9
Dimensions: 240cm x168cm
Pages: 95