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Lecture 1: Introduction to Information Theory

Jakob Foerster · 411.5K views · 2014-04-26 · 1:01:51

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Overview

The first lecture of David MacKay's Cambridge course on information theory, pattern recognition and neural networks. It introduces the core ideas of his book Information Theory, Inference, and Learning Algorithms.

On Hacker News

Recommended as an enjoyable, clear introduction to information theory that pairs well with MacKay's free textbook.

Recommended by 3 HN people across 3 months · HN mentions 2018–2024

Topics

Information theory & signal processingUniversity lectures & coursesMachine learning & deep learning
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david mackayinformation theoryinferencemachine learningcambridge

What people said

samch93 · 2021-10 · Recommendation

It‘s such a tragedy that he died so young. Prof Mackay was a role model who impacted our world in many positive ways (e.g. his work in information theory, Bayesian statistics, environmental science). I recommend his lecture on information theory which is available on youtube [1]. He also documented the progress of his cancer very detailed on his blog [2], which is a very interesting (and sad) read. [1] [VIDEO] [2] [LINK]

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maxov · 2020-06 · Recommendation

Had . Unfortunately Professor MacKay passed away from cancer in 2016. We lost a great soul. I concur that his textbook and sense of humor were fantastic. It was very enjoyable for me to learn the material from his lectures. They are a great supplement to the textbook (or maybe vice versa?) and you can find them here: [VIDEO]

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swframe2 · 2018-02 · Recommendation

I recommend David MacKay's Intro to Info Theory class: [VIDEO] There is a free book for it at: [LINK] Daphne Koller's 3 coursara classes on Probabilistic Graphical Models are also really good.

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Sources

Video by Jakob Foerster, played through YouTube.

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