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7,630,711 results
claude shannon
information theory entropy
information theory shannon
information theory digital communication
source coding theorem
Zip files & error correction depend on information theory, Tim Muller takes us through how Claude Shannon's early Computer ...
180,023 views
3 years ago
A broad introduction to this field of study Watch the next lesson: ...
308,734 views
11 years ago
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
The basics of information theory: information, entropy, KL divergence, mutual information. Princeton 302, Lecture 20.
97,701 views
5 years ago
An excuse to teach a lesson on information theory and entropy. These lessons are funded by viewers: ...
11,483,574 views
Finally we arrive at our quantitative measure of entropy Watch the next lesson: ...
352,318 views
Entropy is a fundamental concept in Data Science because it shows up all over the place - from Decision Trees, to similarity ...
814,978 views
4 years ago
Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=YDjOS0VHEr4 Please support this podcast by checking out ...
232,815 views
2 years ago
What is Information? - Part 2a - Introduction to Information Theory: Script: ...
67,655 views
12 years ago
With this video, I hope to give an easy introduction to the concept of information function and entropy. These concepts are often ...
8,092 views
9 years ago
Part 2 can be viewed here: https://www.youtube.com/watch?v=7OQ7BFuINOU The book chapter from which this example is taken ...
5,629 views
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 ...
220,491 views
8 years ago
an explanation of the source coding theorem, arithmetic coding, and asymmetric numeral systems this was my entry into #SoMEpi.
345,332 views
1 year ago
Philosophical Treatise on how Digital Physics and Consciousness can be captured in one framework.
2,969 views
7 years ago
Entropy, Cross-Entropy and KL-Divergence are often used in Machine Learning, in particular for training classifiers. In this short ...
382,191 views
John Preskill, Richard P. Feynman Professor of Theoretical Physics at the California Institute of Technology, gave a lecture about ...
83,868 views
13 years ago
Huffman Codes are one of the most important discoveries in the field of data compression. When you first see them, they almost ...
272,864 views
Course: https://www.udemy.com/course/introduction-to-power-system-analysis/?couponCode=KELVIN ✓ This is the story of how ...
390,929 views
7 months ago
Lecture 1 of the Course on Information Theory, Pattern Recognition, and Neural Networks. Produced by: David MacKay ...
385,382 views