This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics, engineering, statistics, and computer science. Linear algebra is a ...

18.06 treats linear algebra computationally and geometrically rather than purely axiomatically: the four fundamental subspaces, elimination and LU decomposition ...

As a data professional, you probably know that mathematics is fundamental to data science. Mathematics underpins data science: from understanding how data points are represented as vectors in a vector ...

Lecture videos from Gilbert Strang's course on Linear Algebra at MIT.