(warning: this site is under heavy construction)
notes
linear algebra
- linear algebra done right, axler
- i like this book; it’s a bit tedious from the perspective of review, but a good first course that sets you up for abstract algebra
- linear algebra and learning from data, strang
- super useful and exactly what most courses i’ve taken have lacked
- (link to come) spectral graph theory, spielman
- linear algebra, friedberg, insel, spence
prob + stats
- (to link) blizstein
- (to link) pollard measure theoretic probability
- stochastic processes, chang
- i self-studied this book. it was my first course in stochastic processes and felt quite dense.
- (to maybe link) probability and random processes, grimmett, stirzaker
- elements of statistical learning
- ISLR
analysis
- baby rudin, spivak manifolds, analysis ii terence tao, analysis beals, analysis on manifolds munkres
geom, tda, other
- do carmo differential geometry
- lee smooth manifolds
- other
- dummitt & foote
- GRL
record keeping
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