Description
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.
Book Information
ISBN 9783031653872
Author Jerry D. Gibson
Format Hardback
Page Count 150
Imprint Springer International Publishing AG
Publisher Springer International Publishing AG
