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To spin it further:
├─ Foundation
│ ├─ 🧮 Math
│ │ ├─ course link
│ │ ├─ ...
│ │ └─ course link
│ └─ 👩🏻💻 Programming
│ ├─ course link
│ ├─ ...
│ └─ course link
|
├─ AI Fundamentals
│ ├─ Machine Learning
│ │ ├─ course link
│ │ ├─ ...
│ │ └─ course link
│ └─ Deep Learning
│ │ ├─ course link
│ │ ├─ ...
│ │ ├─ course link
│ └─ AI
│ ├─ course link
│ ├─ ...
│ └─ course link
|
├─ Natural Language Processing
│ ├─ course link
│ ├─ ...
│ └─ course link
├─ Computer Vision
│ ├─ course link
│ ├─ ...
│ └─ course link
├─ Reinforcement Learning
│ ├─ course link
│ ├─ ...
│ └─ course link
.
.
. Btw do you think generative AI should be a separate top-level category? It becomes tricky then because it intersects with many NLP and CV resources |
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Don't want to make it even more complicated, but I also like the list style you currently have. So a 3rd option would be have is breaking the current list into smaller lists with different headers. |
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I think one of the biggest problems with similar repositories like ours is:
Therefore, I want to prepare a roadmap to show people which courses are most valuable. It will be a tree of knowledge - root: I know nothing, leaf: I have knowledge of the given topic. I need to refine my idea but it will be something like this:
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