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.
| ISBN: | 9783031653902 |
| Publication date: | 7th August 2025 |
| Author: | Jerry D Gibson |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Paperback |
| Pagination: | 95 pages |
| Series: | Synthesis Lectures on Engineering, Science, and Technology |
| Genres: |
WAP (wireless) technology Artificial intelligence Human–computer interaction Electronics engineering |
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.
Information Theoretic Principles for Agent Learning features in the following genres: WAP (wireless) technology, Artificial intelligence, Human–computer interaction, Electronics engineering
Paperback, Hardback. £40.49, down from the £44.99 cover price. Not Available.
Information Theoretic Principles for Agent Learning was written by Jerry D Gibson and published by Springer an imprint of Springer Nature Switzerland
Information Theoretic Principles for Agent Learning has 95 pages
Yes it is part of Synthesis Lectures on Engineering, Science, and Technology series
£40.49, reduced from £44.99. Not Available.