avitomar12 / ML-Brain-Resources

Resources for Pursuing Machine Learning, Computational Cognitive Science, Computational Neuroscience, and General Research

Table of Contents

1. Fundamental Math Courses
2. Neuroscience, Cognitive Science, etc.
3. Machine Learning/AI
4. Research
5. Datasets
6. More Advanced Math Courses
7. 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 [e-mail].

-- Wilka Carvalho

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External Resources

General Self-Study

• 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.)

PhD/Research Advice

• Articles about Research and Phd Advice

AI/Machine Learning

• 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

Mathematics

• Chicago undergraduate mathematics bibliography
• Online Mathematics Textbooks