Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Includes vector spaces, matrices, linear systems, and eigenvalues. Includes the basics of floating point computation and numerical linear algebra. Specific Goals. By the end of this course, students ...

Elementary set theory and solution sets of systems of linear equations. An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear ...

Professor Strang gave his last Linear Algebra lecture today after 66 years at MIT. Strang was among the first to upload his classes to MIT OpenCourseWare when it first came online in the early 2000s.

Linear algebra is important for solving certain kinds of ODEs; it's hard to argue that doesn't involve calculus (although it's more getting linear algebra in your calculus than the other way around).

Linear Algebra, Chemistry, Physics, Calculus, and more. Young explains how why he did it: I’ve always been excited by the prospect of learning faster. Being good at things matters.

Linear algebra reflects a direct relationship between an increase or decrease in food resources, and an increase or decrease in meal production. For example, ...

Linear algebra is a field of mathematics that has been thoroughly investigated for many centuries, providing invaluable tools used not only in mathematics, but also across physics and engineering ...