Academic Discipline

Mathematics

Linear algebra, real and complex analysis, topology, differential geometry, probability, combinatorics, and number theory.

18courses132standalone talks428total lectures

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Introduction to Information Theory (University of Cambridge, Lecture 1)

Introduction to Information Theory (University of Cambridge, Lecture 1)

Mathematics·Standalone Lecture·Algorithmic Information & Coding Theory · David MacKay · University of Cambridge

University of Cambridge

1:01:51

Singular Value Decomposition (SVD): Mathematical Overview

Singular Value Decomposition (SVD): Mathematical Overview

Mathematics·Standalone Lecture·Algorithmic Information & Coding Theory · Steve Brunton · University of Washington

University of Washington

12:50

Error-Correcting Codes—Hamming Codes

Error-Correcting Codes—Hamming Codes

Principles of Discrete Applied Mathematics · Lec 19·Probability & Information Theory · Peter Shor · MIT

1:18:31

Data Compression and Shannon’s Noiseless Coding Theorem

Data Compression and Shannon’s Noiseless Coding Theorem

Principles of Discrete Applied Mathematics · Lec 16·Probability & Information Theory · Ankur Moitra · MIT

1:08:50

Reed-Solomon Codes

Reed-Solomon Codes

Principles of Discrete Applied Mathematics · Lec 20·Probability & Information Theory · Peter Shor · MIT

1:05:47

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