Vector Spaces and Subspaces

Vector spaces and their subspaces form the backbone of linear algebra, providing the mathematical framework to represent and manipulate data in high-dimensional settings. A vector space a collection of vectors closed under addition and scalar multiplication. Understanding these concepts, along with bases, coordinate systems, and orthogonality, is crucial for simplifying complex problems in linear algebra and its applications, such as ML.