Machine Learning, Data Science, Learning, Resources, University.
Product, Norms, Matrices, Inverse, Transpose, Determinant, Rank … ❖ Vector Spaces and Subspaces : Vector Spaces, Basis, Dimension, Null Space of a Matrix … ❖ Orthogonality : Dot Product, Orthogonality, Projections, Orthonormal Bases and Gram-Schmidt. ❖ Eigen Decomposition : Eigen Values, Eigen