Wishlist
In no particular order (for now)
- PCA, ICA, related methods
- linear regression, basics of linear algebra?
- “dimensionality reduction”
- t-SNE
- basic ideas behind solving inverse problems
- how do people organise data, meta-data
- “Tidy Data” / tidyverse and related ideas (in
r), Pandas (python), Tables (matlab). Long and wide data? select, filter, mutate, summarise (dplyr/sql syntax)
- logistic regression
- intro to bayesian stats/estimation?
- more machine learning stuff (
svm, intro to deep learning models)
- RL?
Notes / slides
- could have 1 markdown/readme file per session with code snippets, links (3brown1blue, MIT OCW, Khan Academy, …), papers,