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# Books I've liked that are approachable:

- [The Elements of Statistical Learning](https://link.springer.com/book/10.1007/978-0-387-84858-7)

- [The Little Learner: A Straight Line to Deep Learning](https://mitpress.mit.edu/9780262546379/the-little-learner/)

- [The StatQuest Illustrated Guide To Machine Learning](https://www.amazon.com/dp/B0BLM4TLPY)

# Online Videos / Courses

- [Karpthy's Zero to Hero](https://www.youtube.com/watch?v=VMj-3S1tku0&list=PLAqhIrjkxb...)

- [fast.ai](https://www.fast.ai/)

- [3blue1brown Neural Network Course] (https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_6700...)

- [Andrew Ng's Courses](https://www.deeplearning.ai/)

# Fun Projects

- These will teach you data-wrangling things that unfortunately eat up a lot of time.

What do you want to build? I'd love to spitball ideas here.




Thanks for recommendation. This gives me a good direction to focus.




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