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Probability - The Science of Uncertainty and Data
Image: edx.org
#182 overall

Probability - The Science of Uncertainty and Data

edX

3 recommenders · 3 threads · recommended in 3 years, 2018–2022 · score 2.4

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An introductory probability course from MIT (MITx 6.431x on edX, mirroring MIT OCW 6.041/6.0041) covering probability foundations and their use in analyzing data and uncertainty.

Commenters describe it as a very good, genuinely helpful preparation course for later statistics and machine learning work, with one calling it highly recommended.

Mathematicsbeginnerfreevideo lectures#probability#statistics#mit#introduction#data

Recommendations by year

20062026

What commenters said (3)

  1. Recommendsskripp2022in “Ask HN: In 2022, what is the proper way to get into machine/deep learning?”

    MIT 6.041[1] is a very good course I can recommend. Not sure if MITx 6.431x on edx is the same, but it's the same teacher in any case.

    [1] https://www.youtube.com/watch?v=j9WZyLZCBzs&list=PLUl4u3cNGP...

  2. Recommendsscreye2021in “A Concrete Introduction to Probability (2018)”

    Shoutout for another great online MOOC : https://www.edx.org/course/probability-the-science-of-uncert... (It is the same as MIT OCW's 6.0.41)

    I did it as preparation for my Masters and it was genuinely helpful. Would recommend it to everyone looking to do a prob 201 before taking advanced-ish courses.

  3. Recommendsharry82018in “Ask HN: What are the best MOOCs you've taken?”

    I found the lectures entertaining and the exercises of a much lower quality. Not enough of them, shallow and ambiguously worded.

    I got something like 90% on the edx MITx probability course and was barely getting 50% for the above mentioned Stanford stat learning course for the 5 weeks of it I completed. I mention the MIT course, (which I highly recommend fwiw) only to support my view that I don't think my experience is aptitude or workload related. But as ever YMMV.

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