KRkrat0sprakhar·Dec 26, 2016
Here's a list of courses that should help - https://github.com/prakhar1989/awesome-courses#programming-l...
In Ask HN: Recommend an introductory course on compilersprakhar1989
awesome-courses
Learning & Reference2014–2025
prakhar1989 / awesome-courses
awesome-courses
:books: List of awesome university courses for learning Computer Science!
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:books: List of awesome university courses for learning Computer Science!
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- jwasham/coding-interview-university · linked in 3 of the same discussions
- realworld-apps/realworld · linked in 3 of the same discussions
- ebookfoundation/free-programming-books · linked in 2 of the same discussions
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Observed mentions: 2014-11-23 04:28:31 UTC to 2025-12-26 19:50:17 UTC.
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| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2014 | 2014-01-01 00:00:00 UTC | 2015-01-01 00:00:00 UTC | 6 | 2 | 4 |
| 2015 | 2015-01-01 00:00:00 UTC | 2016-01-01 00:00:00 UTC | 6 | 3 | 3 |
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 7 | 0 | 7 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 4 | 3 | 1 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 2 | 1 | 1 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
7 sourcesHere's a list with a mix of different kinds of courses:
https://github.com/prakhar1989/awesome-courses
In Computer Science courses with video lecturesList of awesome university courses for learning Computer Science!
https://github.com/prakhar1989/awesome-courses
In Ask HN: Can you recommend free computer science uni lectures?The CMU class looks interesting but it seems the assignments are behind a login. A list of classes that have more open content - https://github.com/prakhar1989/awesome-courses#systems
In Hack the Kernel – Learn about operating systems onlineSome resources to get you started - not including any coursera or udacity courses since others have already mentioned it.
Mathematical Monk - https://www.youtube.com/user/mathematicalmonk#p/c/0/ydlkjtov... (includes a probability primer)
Awesome Courses - https://github.com/prakhar1989/awesome-courses - its a very extensive list of university courses including subjects apart from Machine Learning as well
Programming Collective Intelligence - http://www.amazon.com/programming-collective-intelligence-bu... - heard very good reviews about this
Many other resources available apart from the above. You can access more such resources at http://www.tutorack.com/search?subject=machine%20learning
I think its a good idea to go through one or more beginner level courses like that offered by Andrew Ng on Coursera and then do an actual project.
[Discla
Read the rest
imer - I work at tutorack.com mentioned in the comment]
Other AI courses - https://github.com/prakhar1989/awesome-courses#artificial-in...
In CS188 Intro to AI – Course MaterialsI've been taking a PLT[0] class in school and while the list above is extremely comprehensive and thorough, I'd argue that you do not need to read up all of it to get a good idea of programming languages.
Without even learning all the theory, you can get pretty far ahead (IMHO) in a building your own programming language (if that's the goal). The two resources that I've found invaluable are - the prog lang course[1] by Dan Grossman and PLAI[2] by Shriram. Lastly, there's also a whole bunch of interesting university courses that you can refer to - https://github.com/prakhar1989/awesome-courses#programming-l...
[0] - http://www.cs.columbia.edu/~sedwards/classes/2016/4115-sprin...
[1] - https://www.coursera.org/course/proglang
[2] - http://cs.brown.edu/courses/cs173/2012/book/
In A Path to Programming Language Theory