A Course in Homological Algebra — Hilton & Stammbach
Algebra — Lang
Introduction to Commutative Algebra — Atiyah & Macdonald
Modern Algebra: An Introduction — Durbin
Algebraic Geometry — Hartshorne
A Classical Introduction to Modern Number Theory — Ireland & Rosen
Algebraic Number Theory — Neukirch
Galois Groups and Fundamental Groups — Szamuely
Reflection Groups and Coxeter Groups — Humphreys
Office Hours with a Geometric Group Theorist — Clay & Margalit
Topology Now! — Messer & Straffin
The Shape of Space — Weeks
Introduction to Topological Manifolds — Lee
Algebraic Topology — Hatcher
The Knot Book — Adams
Geometric Structures on Manifolds — Goldman
Morse Theory — Milnor
Morse Theory and Floer Homology — Audin & Damian
Introduction to Riemannian Manifolds — Lee
Introduction to Smooth Manifolds — Lee
Geometries — Sossinsky
Lectures on Lie Groups — Adams
Proceedings of the 1981 Symposium on Differential Geometry and Differential Equations — Chaohao
Lectures on Riemann Surfaces — Gunning
The Concept of a Riemann Surface — Weyl
Introduction to the Theory of Fourier's Series and Integrals — Carslaw
Measure, Integration & Real Analysis — Axler
An Introduction to Hilbert Space — Young
Linear Approximation — Sard
Functional Analysis, Sobolev Spaces, and Partial Differential Equations — Brezis
Calculus of Variations I — Giaquinta & Hildebrandt
Partial Differential Equations — Garabedian
Differential Equations, Dynamical Systems, and an Introduction to Chaos — Hirsch, Smale & Devaney
Nonlinear Dynamics and Chaos — Strogatz
Computing Projects: Differential Equations, Computing, and Modeling — Edwards & Penney
Ergodic Theory — Petersen
Ergodic Theory and Topological Dynamics of Group Actions on Homogeneous Spaces — Bekka & Mayer
Randomness and Recurrence in Dynamical Systems — Nillsen
Ergodic Dynamics — Hawkins
Enumerative Combinatorics, Volume 1 — Stanley
Matroids — Gordon & McNulty
Markov Chains and Mixing Times — Levin, Peres & Wilmer
Regression and Other Stories — Gelman, Hill & Vehtari
An Introduction to Statistical Learning — James, Witten, Hastie, Tibshirani & Taylor
Elements of Information Theory — Cover & Thomas
Reinforcement Learning: An Introduction — Sutton & Barto
Non-convex Optimization for Machine Learning — Jain & Kar
Introduction to the Theory of Computation — Sipser
A Course in Game Theory — Osborne & Rubinstein