Machine learning (ML) is a rather amorphous, in the authors’ opinions at least, toolkit of computer aided statistics. While our eventual target will be support vector machines, classification and regression trees, and artificial neural networks using some recent R packages, at their heart machine learning is simply pattern recognition of various flavors.
The twin foci of this introductory chapter, understanding sample structures and introducing parallel processing, seek to lay the groundwork for machine learning. ...
