[rmshin]

I just wanted to second this, I recently went through all of Karpathy's videos from almost zero baseline ML knowldege and am now fairly comfortable writing language models from scratch (simple bigram statistical models, MLPs, transformers, etc.).

Karpathy is quite good at helping you build an intuitive understanding of core concepts and linking/referencing literature where appropriate for the more curious learners. Thanks to his videos, I was able to read through several of the foundational papers on resnet, convnet, transformers, and some misc. normalisation techniques without _too_ much struggle.

At one point in time I also went through half of Andrew Ng's CS229 ML lectures from Stanford (https://www.youtube.com/watch?v=jGwO_UgTS7I&list=PLoROMvodv4...). Found them much more math/proof heavy, but definitely valuable for understanding the underlying statistical methods & theory that ML apply.