Regressions with L1 and L2 norms: This lecture provides an introduction to curve fitting with different norms, specifically the L1 and L2 norms.
 
 
 
 
Compressive Sensing: This lecture introduces the concept of compressive sensing and sparse sampling.
 
 
 
 
Over- and under-determined systems: This lecture broadens the viewpoint of L2 and L1 regularization for regression.