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Lecture
Information Measures: Part 1
Description
This lecture covers the concept of information measures, including tail bounds, subgaussions, and subpossion. It explains the relationship between X and Y, the proof of independence, and the conditional expectation. The lecture also delves into entropy, quantities in information theory, and the chain rule.
Official source
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