Hacker Courses The online courses programmers keep recommending, ranked from 20 years of public forum comments.
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#115 overall

Statistics and Probability

Khan Academy

4 recommenders · 4 threads · recommended in 4 years, 2015–2023 · score 3.8

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Khan Academy's free online course covering statistics and probability, from basic concepts through more in-depth coverage, with online exercises and mastery-based practice.

Commenters call it a linear, start-from-the-basics resource that builds the math needed for more advanced courses, and they say it is their first recommendation before other resources.

Mathematicsbeginnerfreemixed#statistics#probability#khan academy#exercises#spaced repetition

Recommendations by year

20062026

What commenters said (4)

  1. Strongly recommendsovi2562017in “6.S094: Deep Learning for Self-Driving Cars”

    Khan Academy is an amazing true MOOC resource. The calculus goes up to early undergrad. The differential calculus is the most important for ML, in my oppinion.

    Probability and statistics will help ML as well.

    I would recommend Khan Academy before any other resources, whatever your level. It has online exercises with auto-correction, and a mastering system that uses spaced repetition. This will ensure you'll actually assimilate the material. After you can use another resource as a reference.

  2. Recommendsmalux852023in “EU strikes deal to regulate ChatGPT, AI tech”
    Prove me wrong. Give me a way to detect race from DNA sample with 100% accuracy.

    You implied that in order for you to be proved wrong, the test must have 100% accuracy. I was saying that 100% accuracy is an impossible standard.

    No tests in the world are 100% accurate, let alone in biology, the fact that you asked for this shows you are numerically illiterate

    Here is DNA clustering that shows race: https://4.bp.blogspot.com/-t9Va5ai9-A4/Xd0cmvRBL4I/AAAAAAAAu...

    Here is a link to the Kahn Academy course on statistics: https://www.khanacademy.org/math/statistics-probability If you take this course, you will understand probability better, and then you wont commit the logical fallacy of "false dichotemy" where you try to reduce complexity to binary classes which is a view that is too simplistic to accuratly represent the distributions we are talking about

  3. Recommendsneovive2018in “Ask HN: What are the best MOOCs you've taken?”

    Udacity has two free introductory statistics courses that they recommend prior to starting their AI nanodegree program:

    Intro to Descriptive Statistics [https://www.udacity.com/course/intro-to-descriptive-statisti...]

    Intro to Inferential Statistics [https://www.udacity.com/course/intro-to-inferential-statisti...]

    Khan Academy also has very in-depth coverage of statistics, starting from the basics. https://www.khanacademy.org/math/statistics-probability

  4. Recommendsbargl2015in “Mathematics for Computer Science”

    I did something similar last year with Statistics and Probability. The best place I've found for a linear course for online math is https://www.khanacademy.org/

    I was able to start at the beginning and get all the necessary math to actually step forward to some of the more complex courses. I'd suggest starting there.

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