Professor of Mathematics
Complete university lecture series taught by Gilbert Strang.
Gilbert Strang bridges numerical linear algebra and modern machine learning: singular value decomposition, low-rank approximations, Eckart-Young theorem, randomized linear algebra, and stochastic gradient descent.
Gilbert Strang's gold-standard MIT undergraduate course building geometric and algebraic intuition for systems of equations, vector spaces, orthogonality, determinants, and eigenvalues.
Linear geometry, convex duality, statistical learning, and deep optimization
MIT · Stanford University · Caltech +1
Search or browse every recorded session across courses and talks.
