Overfitting and Dimensionality
Alex and Tim discuss how regression on data points rather than variables helps avoid overfitting. Yannic emphasizes the interdependence of dimensions in the highly dimensional latent space. The theory pivots towards evaluating data points.In this clip
From this podcast

Machine Learning Street Talk (MLST)
Kernels!
Related Questions