- Fundamental Math Courses
- Neuroscience, Cognitive Science, etc.
- Machine Learning/AI
- Research
- Datasets
- More Advanced Math Courses
- Meta-skills (e.g. Working Habits)
If you'd like to add to this, please submit a pull request on Github or send me an email with content at wcarvalho92@gmail.com.
- Metacademy - organized resources and roadmaps for self-studying various topics led by Professor Roger Grosse @ The University of Toronto
- Course Guides
- Roadmaps (e.g. Differential geometry for machine learning, programming, etc.)
- Machine Learning Tutorials by Professor Yanjun Qi of UVA
- Collection of Tutorials on Bayesian Nonparametrics by Professor Peter Orbanz of Columbia
- Machine Learning Videos by Dustrin Tran of Google
- Deep Learning Reading List
- AI Reading List. includes ML, philosophy, logic, etc