Stanford EE274: Data Compression - Beyond IID Distributions: Conditional Entropy - Lecture 8
Offered By: Stanford University via YouTube
Course Description
Overview
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
Taught by
Stanford Online
Tags
Related Courses
Introduction to Statistics: ProbabilityUniversity of California, Berkeley via edX Aléatoire : une introduction aux probabilités - Partie 1
École Polytechnique via Coursera Einführung in die Wahrscheinlichkeitstheorie
Johannes Gutenberg University Mainz via iversity Combinatorics and Probability
Moscow Institute of Physics and Technology via Coursera Probability
University of Pennsylvania via Coursera