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1. Machine Learning by Andrew Ng on Coursera. 2. Linear Algebra from Imperial College course on Coursera. Course name: "Mathematics for Machine Learning: Linea
by __rito__ 4y ago
1. Machine Learning by Andrew Ng on Coursera.
2. Linear Algebra from Imperial College course on Coursera. Course name: "Mathematics for Machine Learning: Linear Algebra".
3. Eigenthings from Ella Batty's lectures on Neuromatch Academy.
4. Vector Calculus from Eugene K's YouTube.
5. Much of Physics from Halliday, Resnick, Walker's book.
6. How to actually do knowledge work and grow, and productivity in general from Cal Newport's book "Deep Work".
7. Economics from "The Economics Book" and "How Money Works" from DK Publishers.
8. Meditating from "The Mind Illuminated" and "Meditation in Plain English".
9. Differentiation from MIT Opencourseware course.
10. Buddha's teachings from "What the Buddha Taught" by Walpola Rahula.
- nateburke 4y ago+1 on Halliday/Resnick physics. This book changed my life--it was only after reading it that I started to trust my own ability to learn directly from textbooks.
- __rito__ 4y agoIt also changed my life in the sense that, after reading this book, I refused to read any book, or see any MOOC that was boring. This book, for the first time in my life, showed how fun a book could be while being exceptionally good at teaching.