I'm new to machine learning and have only a vague idea of what it encompasses. In looking through the table of contents of "Machine Learning in Action", it seems like it contains an assortment of seemingly unrelated techniques for solving certain types of problems. What I'm wondering is if there is an overarching theme or
philosophy which unites these different techniques together? Thanks!