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THE VIDEO SHELF · information theory

Lecture 1: Introduction to Information Theory

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.

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Why HN readers recommended it

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

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Jakob Foerster
Topic
information theory
Format
lecture
Level
intro
HN recommenders in dataset
3
HN mentions in dataset
6
Recommendation years in dataset
2018–2024

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • 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.

    swframe2 on Hacker News · 2018-02
    In Probabilistic Programming and Bayesian Methods for Hackers (2013)

  • 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 …

    maxov on Hacker News · 2020-06
    In Ask HN: What, in your opinion, are the greatest and most useful textbooks?

  • 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 …

    samch93 on Hacker News · 2021-10
    In Sustainable Energy without the Hot Air (Revised, Community Edition)

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.

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