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6,352,033 results
claude shannon
shannon information theory
conditional entropy
kl divergence
information theory entropy
information theory and coding
shannon entropy
cross entropy
david silver
information theory in digital communication
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Mutual Information is metric that quantifies how similar or different two variables are. This is a lot like R-squared, but R-squared ...
160,335 views
2 years ago
Describes what is meant by the 'mutual information' between two random variables and how it can be regarded as a measure of ...
73,341 views
7 years ago
The basics of information theory: information, entropy, KL divergence, mutual information. Princeton 302, Lecture 20.
97,688 views
5 years ago
The machine learning consultancy: https://truetheta.io Join my email list to get educational and useful articles (and nothing else!)
100,077 views
4 years ago
The basics of Mutual Information in information theoory. Lecture 24b of "CS Theory Toolkit": a semester-long graduate course on ...
3,851 views
In this lecture from Sam Cohen's 3rd year 'Information Theory' course, one of eight we are showing, Sam asks: how do we ...
146,277 views
10 months ago
65,404 views
Non-clickbait title: The supremacy of the MLE. This video is a video about maximum likelihood estimation, a method that powers ...
193,908 views
9 months ago
Slides: https://slides.com/asobolev/on-mutual-information-estimation#/ Artem Sobolev, Samsung AI Center Moscow, Research ...
5,965 views
6 years ago
I will prove that for large scale Deep Neural Networks the mutual information on the input and the output variables, for the last ...
93,715 views
21,794 views
A useful, well documented, MATLAB toolbox for calculating coherence and mutual information in neural systems can be found at ...
10,696 views
12 years ago
The basics of entropy Part A Entropy, Joint Entropy, Conditional Entropy Prerequisite: Probability theory Download this lecture ...
12,722 views
8 years ago
Finally we arrive at our quantitative measure of entropy Watch the next lesson: ...
352,318 views
11 years ago
CORRECTION: at 13:41, the probability is 6.1e-5 and not 4.8e-4 (however, the entropy is 1.75, which is correct). Thank you ...
220,489 views
Entropy is a fundamental concept in Data Science because it shows up all over the place - from Decision Trees, to similarity ...
814,977 views
Lecture 1 of the Course on Information Theory, Pattern Recognition, and Neural Networks. Produced by: David MacKay ...
385,366 views
What Is Mutual Information? Have you ever wondered how one variable can provide information about another? In this informative ...
160 views
8 months ago
104,739 views
Brief discussion of Entropy, Mutual Information, and relative entropy.
14,961 views
10 years ago
This video is from the set "Information theory and self-organisation -- a course on theory and empiricial analysis using the JIDT ...
3,507 views
Today I'm going to introduce to you a paper called mutual information neural estimation. This paper comes from ICML 2018.
2,307 views
Introducing the concepts of Entropy and Mutual Information, their estimation with the binning approach, and their use in Machine ...
19,186 views
3 years ago
Unit 3 Module 4 Algorithmic Information Dynamics: A Computational Approach to Causality and Living Systems---From Networks ...
23,139 views
Mutual Information - lecture 4 in the Information Theory section of Information Processing and the Brain, taught in CS in the ...
738 views
"Model-Augmented Conditional Mutual Information Estimation for Feature Selection Alan Yang (University of Illinois at ...
204 views
Hello, Data Explorers! In this video, we dive into the practical applications of Correlation and Mutual Information within Qlik.
1 year ago
This video is part of the Supervised Learning (SL) course from the SLDS teaching program at LMU Munich. Topic: Joint ...
443 views
