“Out on the edge you see all kinds of things you can't see from the center. Big, undreamed-of things -- the people on the edge see them first.”
--Kurt Vonnegut
Background - 7-9 days
Basic - 7 days
Team Specializion - Elaborated below per team (40.5d to DS, 32.5d to Algo).
Problem Formalization - 1 day.
NN specialization - 12d. (Deep Learning AI courses 1-3 and exercise take 3d each. Pytorch tutorial and course 5 of Andrew take 1d each. Last exercise takes 4d.)
Your team final project - 5-10 days
Sources, courses and datasets in the following link:
https://drive.google.com/drive/folders/1yeyzwaRuVTr1oJHCO3yVtx5QFK8yBYev?usp=sharing
Thats it for basic training, congrats!!!
DS common grounds - 12.5d. Up to Chapter 4 - Boosting Trees (including).
Algo common grounds - 10d.
Algo team topics - 6d.
Algo research reports - 4d.
Algo common grounds - 4.5d.
Read through the sections, each one should take at most half a day. Finish exercises only by instructor guidelines.
DS common grounds - 31d.
DS research reports - 5d.
Finish CV Introduction - 5 days
Finish NLP Introduction - 2 days
Finish SNA Introduction - 2 days
Finish Tracking Introduction - 2 days
Finish Testing - 1 day
RL problem - update (Tomer).
Multi objective - new exercise (Bloch).
Genetic algorithms - new exercise (Bloch).