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Adding additional resources for AI/ML, Systems, and PL #2

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15 changes: 12 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -22,23 +22,33 @@ Any resources that do not have a free version accessible (or require physical eq

* :teacher: [CS50 Web by Brian Hu and David Malan](https://cs50.harvard.edu/web/) (this is different than the vanilla CS50 mentioned above) - gives you a complete overview of the landscape of full-stack web development using HTML/CSS, Django, SQL, Javascript upto testing and CI/CD

## Machine Learning
## Artificial Intelligence / Machine Learning

- :teacher: [fast.ai Practical Deep Learning for Coders](https://www.fast.ai/)
- :teacher: :turtle: [6.034 Artificial Intelligence (MIT)](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/)
- :teacher: :turtle:[fast.ai Practical Deep Learning for Coders](https://www.fast.ai/)
- :teacher: :turtle: [Introduction to Machine Learning (Coursera)](https://www.coursera.org/learn/machine-learning)
- :book: :rabbit2: [Deep Learning (Goodfellow, Bengio)](https://www.deeplearningbook.org/)
- :teacher: :rabbit2:[CS285 Reinforcement Learning (UCBerkeley)](http://rail.eecs.berkeley.edu/deeprlcourse/)
- :teacher: :rabbit2:[Introduction to Reinforcement Learning (David Silver)](https://deepmind.com/learning-resources/-introduction-reinforcement-learning-david-silver)
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Could you add a short description for these courses? That might help someone looking over the list figure out which of these would be more relevant or interesting to them

- :book: :rabbit2: [Reinforcement Learning: An introduction (Sutton, Barto](http://incompleteideas.net/book/the-book.html)
- :turtle: [Awesome Deep Learning](https://github.com/donnemartin/system-design-primer) - A curated list of awesome Deep Learning tutorials, projects and communities

## Networking

## Distributed Systems

- :teacher: [MIT Distributed Computer Systems Engineering (6.824)](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-824-distributed-computer-systems-engineering-spring-2006/) ([notes](https://timilearning.com/tags/mit-6.824/))
- :book: :heavy_dollar_sign: [Designing Data-Intensive Applications (DDIA)](https://dataintensive.net/)
- :turtle: [Systems Design Primer](https://github.com/donnemartin/system-design-primer) - Overview of systems design, primarily targeted towards interview preparation

## Data Structures & Algorithms

## Programming Languages

- :teacher: :hammer: :rabbit2: [Dan Grossman's Programming Language course](https://courses.cs.washington.edu/courses/cse341/19sp/#all) (also on [Coursera](https://www.coursera.org/learn/programming-languages))
- :book: :turtle: [Structure and Interpretation of Computer Programs](https://web.mit.edu/alexmv/6.037/sicp.pdf)
- :teacher: :hammer: :rabbit2: [Crafting Interpreters](https://craftinginterpreters.com/) - Two complete walkthroughs for writing a compiler from scratch, one in Java and another in C


## How Computers Work

Expand All @@ -54,4 +64,3 @@ Any resources that do not have a free version accessible (or require physical eq

## History of Computing
- :book: :turtle: :heavy_dollar_sign: [Where the Wizards Stay Up Late: The Origins of the Internet](https://www.simonandschuster.com/books/Where-Wizards-Stay-Up-Late/Katie-Hafner/9780684832678)