Data Science, Mathematics, AI, Programming, Medium.
will explore some of the most important applications of linear algebra in data science, including principal component analysis (PCA), singular value decomposition (SVD), eigendecomposition, matrix factorization, singular spectrum analysis (SSA), linear regression, and using PCA in data