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Stanford EE274: Data Compression - Beyond IID Distributions: Conditional Entropy - Lecture 8

Offered By: Stanford University via YouTube

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Information Theory Courses Signal Processing Courses Algorithms Courses Statistical Analysis Courses Probability Theory Courses Coding Theory Courses

Course Description

Overview

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Explore the concept of conditional entropy and its applications in data compression beyond independent and identically distributed (IID) distributions in this lecture from Stanford University's EE274: Data Compression I course. Delve into advanced topics presented by Professor Tsachy Weissman, along with insights from Shubham Chandak and Pulkit Tandon. Gain a deeper understanding of how conditional entropy extends compression techniques to more complex data structures. Access the course website for supplementary materials and follow along with the comprehensive discussion. For those interested in pursuing the full online course, information on enrollment is available through Stanford's online learning platform.

Syllabus

Stanford EE274: Data Compression I 2023 I Lecture 8 - Beyond IID distributions: Conditional entropy


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Stanford Online

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