As a PhD candidate, on the way of just solving a small bug in the code to trying to come up with an entirely new algorithm, I’ve been autonomous learning and studying everyday. I will try to give a record of whatever I read/saw and can recommend on specific topics. I found them extremely helpful for myself for later lookup and I hope that it may also help anyone interested. Most stuff will be about point cloud/video/image procesing, machine learning/deep learning, as my job is related to these topics. Besides, I might add also some posts related to my daily lifes.
Machine learning
Courses
- MIT 6.034 Artificial Intelligence by Patrick Winston (23 lectures + 7 Mega-Recitations)
Videos
- Visualizing Data Using t-SNE - GoogleTechTalk by Laurens van der Maaten presenting t-SNE
Blogs/Sites
- Andrej Karpathys Blog - Blog with a lot of well written articles mainly about CV and CNNs
- PixelCNN - Detail explaination on PixelCNN paper
Programming
Videos
- Introduction to DL with Python - Presentation by Alec Radford giving an overview of Deep Learning with Theano
Blogs/Sites
- Undocumented Matlab - One of the best Matlab related Sites I know.
- Minkowski Engine - Minkowski Engine documentation website, power tool for high dimensional data processing.
General Scientific stuff
Videos
-How to write a Scientific Paper - Talk by Simon Peyton Jones
General stuff (in En and Vi)
- Dau tu ETF Tinh thue, phi khi dau tu chung khoan o Duc