This book surveys many of the important topics in machine learning circa 1996. The intention was to pursue a middle ground between theory and practice.
This book concentrates on the important ideas in machine learning -- it is neither a handbook of practice nor a compendium of theoretical proofs. The goal was to give the reader sufficient preparation to make the extensive literature on machine learning accessible.
