
[0]: https://www.goodreads.com/book/show/75622146-the-statquest-i...
To this day I haven't found a teacher who could express complex ideas as clearly and concisely as Starmer does. It's written in an almost children's book like format that is very easy to read and understand. He also just published a book on NN that is just as good. Highly recommend even if you are already an expert as it will give you great ways to teach and communicate complex ideas in ML.
[0]: https://www.goodreads.com/book/show/75622146-the-statquest-i...
- [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.