Data Science, Linear Algebra, Math For Data Science, Data Science Basics.
models. Here are the topics you need to be familiar with: Vectors Matrices Transpose of a matrix Inverse of a matrix Determinant of a matrix Trace of a matrix Dot product Eigenvalues Eigenvectors Practical implementation of linear algebra in data science and machine learning: Dimensionality