Machine Learning, Data Science, Dimensionality Reduction, Intuition, Linear Algebra.
easier, as we are now only interested in the relations of quantities. 2. Covariance Remember from Part 1 that we interpreted covariance as a measure of how accurately one variable can be predicted from another. To put this in quantitative terms, we assume the simplest kind of relationship: y is a