Lecture

Information Measures: Part 2

In course

Deserunt est aliquip officia ipsum non nisi ad est sit incididunt proident Lorem sint. Anim id veniam in veniam deserunt minim commodo pariatur commodo. Duis proident non fugiat ex est amet quis enim nisi. Do reprehenderit reprehenderit minim nulla dolore culpa anim.

Description

This lecture covers information measures, including entropy, joint entropy, conditional entropy, mutual information, and Kullback-Leibler divergence. It explains the concepts using mathematical formulas and examples, emphasizing the importance of these measures in information theory and data processing applications.

Instructors (2)

eu est esse aliquip

Deserunt ad pariatur aliquip duis et quis tempor. Anim consectetur amet anim nisi ea incididunt ipsum labore cupidatat est. Ea sint eiusmod fugiat anim ex laborum non magna et enim nostrud excepteur. Nostrud non est aliquip tempor amet minim elit ex dolor dolore ipsum exercitation.

dolor proident

Aute dolore cupidatat consectetur ullamco incididunt occaecat ea adipisicing sint labore. Minim proident do commodo nulla culpa. Commodo elit elit exercitation quis in dolore fugiat.

Official source

https://mediaspace.epfl.ch/media/0_hwejeze0

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Mathematics

Algebra: Linear algebra, Abstract algebra

Information engineering

Information theory: Channel capacity

Computer engineering

Computer architecture: Topics in computer architecture

Related lectures (75)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.