Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
Prof. Gilbert Strang
Learn linear algebra through matrix methods with Prof. Strang's MIT course. Master data analysis, signal processing, and machine learning fundamentals!
More resources on Linear Algebra
Immersive Linear Algebra
Interactive linear algebra textbook with dynamic visualizations covering vectors, matrices, transformations, eigenvalues, and decompositions.
Linear Algebra Done Right
Rigorous linear algebra text emphasizing vector spaces, linear maps, and abstract structure over computational techniques and determinants.
3Blue1Brown
Visual mathematics explanations using animations to build deep intuition for linear algebra, calculus, differential equations, and mathematical concepts.
Applied Linear Algebra (Boyd & Vandenberghe)
Modern linear algebra presented as the essential infrastructure for data science and AI optimization.
3Blue1Brown Linear Algebra Series
Intuitive visualizations
Linear Algebra: Foundations to Frontiers Lecture 1
UT Austin course intro