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About Lecture Notes
This document contains lecture notes for a course on statistics and information theory. The notes cover topics such as information theory, divergence measures, concentration inequalities, generalization, and privacy. The document is divided into multiple chapters, with each chapter covering key concepts, definitions, theorems, and examples in the topic area. Proofs of theoretical results are sometimes deferred to the end of the relevant section. Exercises are also provided throughout to help solidify understanding of the material.
Detailed Information
| Author: | ['Severus'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 324 |
| Language: | English |
| Format: | |
| Price: | FREE |
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