- A First Course in Linear Algebra – Robert A. Beezer
- Advanced Algebra – Anthony W. Knapp (PDF)
- An Introduction to the Theory of Numbers – Leo Moser (PDF)
- Basic Algebra – Anthony W. Knapp (PDF)
- Basics of Algebra, Topology, and Differential Calculus (PDF)
- Bayesian Methods for Hackers – Cameron Davidson-Pilon
- Book of Proof – Richard Hammack (PDF)
- Calculus – Gilbert Strang (PDF)
- Calculus Made Easy – Silvanus P. Thompson (PDF)
- Category Theory for the Sciences – David I. Spivak
- CK-12 Probability and Statistics – Advanced
- Collaborative Statistics
- Computational and Inferential Thinking. The Foundations of Data Science
- Computational Geometry
- Concepts & Applications of Inferential Statistics
- Differential Equations – Paul Dawkins (PDF, use download menu to download)
- Elementary Differential Equations – William F. Trench (PDF)
- Essentials of Metaheuristics – Sean Luke
- Graph Theory
- Introduction to Probability – Charles M. Grinstead and J. Laurie Snell
- Introduction to Probability and Statistics Spring 2014
- Introduction to Proofs – Jim Hefferon
- Introduction to Statistical Thought – Michael Lavine
- Kalman and Bayesian Filters in Python
- Knapsack Problems – Algorithms and Computer Implementations – Silvano Martello and Paolo Toth
- Lecture Notes of Linear Algebra – Dr. P. Shunmugaraj, IIT Kanpur (PDF)
- Linear Algebra – Dr. Arbind K Lal, Sukant Pati (PDF) (🚧 in process)
- Linear Algebra (PDF)
- Linear Algebra by Jim Hefferon – Jim Hefferon
- Mathematical Logic – an Introduction (PDF)
- Mathematics, MTH101A – P. Shunmugaraj, IIT Kanpur
- Non-Uniform Random Variate Generation – Luc Devroye (PDF)
- Number Theory – Holden Lee MIT
- OpenIntro Statistics
- Ordinary Differential Equations – Wikibooks
- Power Programming with Mathematica – David B. Wagner
- Probability and Statistics Cookbook
- Probability and Statistics EBook
- Seven Sketches in Compositionality: An Invitation to Applied Category Theory – Brendan Fong and David I. Spivak (PDF)
- Statistics Done Wrong – Alex Reinhart
- Think Bayes: Bayesian Statistics Made Simple – Allen B. Downey
- Think Stats: Probability and Statistics for Programmers – Allen B. Downey (using Python)