University
CMU STEM textbooks
6 canonical courses indexed across Computer Science, Machine Learning, Mathematics. Every book required or recommended below has live price comparison across Amazon, eBay, AbeBooks, Alibris, and Pearson InformIT.
Courses
- 10-701Introduction to Machine LearningMachine Learning
- 15-122Principles of Imperative ComputationComputer Science
- 15-213Introduction to Computer SystemsComputer Science
- 15-251Great Ideas in Theoretical Computer ScienceComputer Science
- 15-411Compiler DesignComputer Science
- 21-241Matrices and Linear TransformationsMathematics
Textbooks used at CMU
Compilers: Principles, Techniques, and Tools
ReqAlfred V. Aho, Monica S. Lam et al.
Computer Systems: A Programmer's Perspective
ReqRandal E. Bryant, David R. O'Hallaron
Introduction to Linear Algebra
ReqGilbert Strang
Introduction to the Theory of Computation
ReqMichael Sipser
Pattern Recognition and Machine Learning
ReqChristopher M. Bishop
Probabilistic Machine Learning: An Introduction
RecKevin P. Murphy
Types and Programming Languages
RecBenjamin C. Pierce