If Day 1's dimensionality reduction was "creating new synthetic axes," feature selection is "keeping only useful existing features." Both reduce dimensions, but selection preserves the interpretability of original features.
Today we cover three major approaches to selection—filter, wrapper, and embedded—feature importance methods, and multicollinearity, which complicates selection decisions.