Information Theoretic Principles for Agent Learning - Jerry D. Gibson
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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 pr ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Jerry D. Gibson |
|---|---|
| Izdevējs | Springer Nature Switzerland |
| Series | Synthesis Lectures on Engineering, Science, and Technology |
| Izlaides gads | 2024 |
| Vāka tips | Cietais vāks |
| EAN | 9783031653872 |