November 15, 2017
San Francisco, CA
Things to Learn
There’s an increasing number of things I feel I need to know but don’t.
This is a list of some of them.
It’s easier to pick out things that are sort of math-y or technical, though
there are definitely lots of other things I want to be better at.
These are arranged by how much I feel like I ought to know them.
I’ve learned a little bit about most of these, but I need to learn
a lot more.
Much of this could be folded into “About the same math that would
be known by the average undergraduate math senior.”
One textbook’s worth or more
- Probability and Statistics
- Machine Learning / Deep Learning
- Deep Reinforcement Learning
- Abstract Algebra
- Real Analysis
- Philosophy of Mind
- Lagrangian Mechanics
- Game Theory
- Vector Calculus
Half a textbook’s worth, or the full documentation
- Numerical Analysis
- Category Theory
- Differential Equations
- Computational Geometry
- PostgreSQL or SQLite
- GNU Guile
- Pyro, Edward, or some other PPL
- Visual Studio Code
A couple of chapters of a textbook, passing familiarity
- Quantum Mechanics
- Complex Analysis