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I really really agree with you. I also think that the fast.ai courses are amazing. It is a question of motivation. If you're reasonably proficient at programmi
by hnarayanan 9y ago
I really really agree with you. I also think that the fast.ai courses are amazing.
It is a question of motivation. If you're reasonably proficient at programming and want to hit the ground running on a specific application (especially in a domain that has well-established methods) fast.ai is probably what you're looking for.
If you're new to programming and mathematics, or want to work on the state of the art of these methods, you need to first truly understand more fundamental ideas. For those who fall into this camp, I am collecting resources (work in progress) and trying to organise them into a learning pathway: https://github.com/hnarayanan/deep-learning https://github.com/hnarayanan/deep-learning
You or anyone else who's interested is free to offer suggestions on learning material.
- abhirag 9y agoYou already have Prof. Gilbert Strang's course in there(made me fall in love with linear algebra), I would like to suggest Prof. Joe Blitzstein's course (https://projects.iq.harvard.edu/stat110/home https://projects.iq.harvard.edu/stat110/home) on probability and Prof. Yaser Abu-Mostafa's course (https://work.caltech.edu/telecourse https://work.caltech.edu/telecourse) on Machine Learning.
- hnarayanan 9y agoThank you! I already had Prof. Yaser Abu-Mostafa's course in there too (also amazing), but I will check out Prof. Blitzstein's probability course as well.