Linear Algebra (18.06)
Gilbert Strang
Learn singular value decomposition (SVD) in MIT's Linear Algebra (18.06) course by Gilbert Strang.
More resources on Singular Value Decomposition
Trefethen and Bau Lecture Notes
Companion to the book with SVD details.
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (18.065)
Learn matrix methods & SVD for data analysis, signal processing, and machine learning from Gilbert Strang's MIT 18.065 course!
mathworld.wolfram.com
MathWorld is Wolframâs comprehensive online mathematics encyclopedia, offering detailed, peer-reviewed articles, definitions, formulas, and examples across topics. It includes sections on Linear Algebra and related concepts, with entries on Singular Value Decomposition that provide explanations, derivations, diagrams, and references for understanding SVD and its applications.
ocw.mit.edu
MIT OpenCourseWare provides free, openly licensed MIT course materialsâincluding lecture notes, assignments, exams, and video lecturesâacross a wide range of subjects. Youâll find SVD-related content in linear algebra, numerical methods, and data science courses, with lecture notes and problem sets you can use.
nptel.ac.in
NPTEL is an Indian online learning platform offering IIT/IIScâtaught courses with free and paid video lectures, notes, assignments, quizzes, and certificates across engineering, sciences, and humanities. It includes structured content on linear algebra topics, including singular value decomposition.