MIT's introductory machine learning course (6.036, later renumbered 6.390), taught by Leslie Kaelbling, covering core supervised and unsupervised ML methods with lecture videos, lecture notes, and auto-graded exercises on the MIT Open Learning Library.

Commenters praise its clear, well-written notes and interactive exercises with automatic feedback, and say it is free and well put together.

On Reddit (6)

1. Strongly recommendsweston_c1r/learnmachinelearning2021in “Where can I find a good study plan for ML/DL?”▲ 6

   I highly recommend MIT's machine learning course (6.036) available through the Open Learning Laboratory. It is interactive in that with every module of the course there is a set of exercises and homework problems which are automatically scored. For example, you might be asked to write a function…

2. Strongly recommendsljhs821r/learnmachinelearning2021in “Which of these courses is the best place to learn ML using python (Andrew Ng vs Google”▲ 3

   I would argue that learning machine learning with ONLY python is kind of useless for practical senses like getting a job or making useful projects. Even if you could've done it somehow you really wouldn't know how it works and how to make further progress. I would highly argue you take this free…

3. RecommendsEmergencyDesigner318r/learnmachinelearning2023in “Alternatives to Andrew Ng's Machine Learning course on Coursera”

   I encourage you to look into MIT's openlearninglibrary course; I'm currently an undergrad taking 6.390 (what was then 6.036, intro to ml) and I'd say the material aligns a lot with what we are covering, in terms of difficulty and breath…

4. RecommendsLunchInSpacer/learnmachinelearning2022in “What courses should I get on ML?”

   I strongly recommend free sources like MIT OpenCourseWare. There's some variability in the quality of the online materials for each different course on there (some have lectures recorded, some don't) but it's a world class education for free. Here is their intro to Machine Learning Course. It…

5. RecommendsThehumblepiecer/learnmachinelearning2021in “[deleted by user]”▲ 2

   I do not know about the one from Stanford, but do check course 6.036 by Dr. Leslie Kaebling on MIT openlearning library. It has a lot of exercises with detailed answers. I found the professor to be awesome as well.

6. MentionsXXXYinSer/learnmachinelearning2023in “Need to complete a project, but I understand very little.. Any advice?”

   I mean if you’ve already taken calc 1-3 then learning statistics isn’t the hard part. Engineering statistics was the easiest math class I took in my bachelor’s. You can start there or take an intro machine learning course and just look up the relevant stats when they come up. Stanford and MIT both…

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