Information Theoretic Principles for Agent Learning

Information Theoretic Principles for Agent Learning 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. Autor: Jerry D. Gibson Wydawnictwo: Springer Rok wydania: 2025 Okładka: miękka Liczba stron: 95 Wymiary: 24 x 16.8 cm Ilustracje: 2 Illustrations, color; 9 Illustrations, black and white Język: angielski ISBN: 9783031653902