Linear Algebra: Vector Spaces and Bases

This lecture covers the definition of subspaces, families of vectors, bases, kernels, and images of matrices. It explains the differences between kernel and image, how to find bases for them, and the importance of linear independence. The lecture also delves into examples and non-examples, providing insights into determining linear independence and forming bases.