Why you should add statistical learning to your machine learning tool kit

Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many other fields, including statistics. Most of today's algorithms have a history in various mathematical subfields. Many of these subfields overlap but I've taken a stab at categorizing some popular algorithms.