Machine Learning, Data Science, Learning, Resources, University.
can be regarded as a vector in a M-dimensional vector space where M is the number of columns in the dataset. This way of picturing data helps understand many ML algorithms such as PCA (through the concept of intrinsic dimensionality of data, or rank of the matrix). ➡ Introduction to Linear Algebra