By getting into machine or deep learning I mean building upto a stage to do ML/DL research. Applied research or core theory of ML/DL research. Ofcourse, the path to both will quite different.
Standing in 2022, what are the best resources for a CS student/decent programmer to get into the field of ML and DL on their own. Resources can be both books or public courses.
The target ability:
1. To understand the theory behind the algorithms
2. To implement an algorithm on a dataset of choice. (Data cleaning and management should also be learned)
3. Read research publications and try to implement them.