miscellaneous
My collection of useful resources as well as some references to my "favourite people".
AI
- Websites and blogs
- Machine Learning cơ bản (basic maths for AI)
- colah’s blog (artificial neural networks)
- Chaitanya K. Joshi (geometric deep learning graph neural networks)
- Huy Nguyen (mixture-of-experts models)
- Courses
- Machine Learning (machine learning and its building blocks)
Optimization
- Websites and blogs
- Viet Anh Nguyen (human-machine interactions, robustness, responsible AI, etc.)
- Ngoc Bui (efficiency, robustness, and interpretability of ML models)
- Courses and notes
- Ruodu Wang (quantitative risk management)
Math
- Websites and blogs
- Math \(\cap\) Programming (what can I say, I love Jeremy Kun & his blog posts)
- Courses and notes
- Paul’s Online Notes (algebra, calculus I-II-III)
- Mathematics LibreTexts (campus bookshelves, learning objects)
- Symbolab Math Calculator (math calculator)
Stats
- Courses and notes
- Peter Orbanz (tutorials on Bayesian nonparametrics)
- Standford Edu (Bayesian nonparametrics)
Miscellaneous
- Youtube channels for exploring new ideas, developing a growth mindset and building a lifestyle
- Einzelgänger (psychology, philosophy and a wide range of topics and ideas)
- Philosophies for Life (ancient wisdom for modern living)
- Daily Stoic (philosophy: stoicism)
- The School of Life (self-understanding, calm and emotional maturity)
- Better Than Yesterday (psychology, philosophy, biology, economy, and many others)