Excellent lecture Computer Vision by “Lawrence Livermore National Laboratory” by Matthew Raver.
Python Data Science Tutorial: Analyzing the 2019 Stack Overflow Developer Survey By Corey Shafer.
10 Free Top Notch Natural Language Processing Courses :-
1) https://web.stanford.edu/class/cs124/ from Language to Information by Stanford.
2) http://web.stanford.edu/class/cs224n/ NLP With Deep Learning by Stanford.
3) https://github.com/fastai/course-nlp By…[Read more]
Machine Learning for Physics by Institute of Pure and Applied Mathematics UCLA.
PlayList :- https://www.youtube.com/playlist?list=PLHyI3Fbmv0SfQfS1rknFsr_UaaWpJ1EKA
complete Playlist : https://www.youtube.com/watch?v=eQA-m22wjTQ&list=PLDV1Zeh2NRsDGO4–qE8yH72HFL1Km93P
Datastructure :- https://www.youtube.com/watch?v=Qmt0QwzEmh0&list=PLDV1Zeh2NRsB6SWUrDFW2RmDotAfPbeHu
Graph Theory By…[Read more]
C programming and Data Structures by Professor Chakraborty IITKgp
Complete Play List : https://www.youtube.com/watch?v=S47aSEqm_0I&list=PLeCxvb23g7hrw27XlekHtfygUTQ0TmFfP&index=1
The Reinforcement Learning Terminology, A to Z :-
Python for AI (More focused on Reinforcement Learning and Autonomous systems) :-
How to better search code using NLP. A CodeSearchNet Challenge having different code search methods.
Research paper: https://arxiv.org/pdf/1909.09436.pdf
Barrelfish: A Study In Distributed Operating Systems On Multicore Architectures Part – 1 (Microsoft Research)
Its actually a 2-part series. Presentations were done in 2012. So, if you haven’t seen it already could be a quite insightful. However, the project is probably well ahead now.
Thanks for all your shares as well. They are helpful. You keep the community active 🙂
https://www.cs.princeton.edu/courses/archive/spr10/cos433/mathcs.pdf A good book on logics by Princeton University.