In Chapter 1, Getting Started with MATLAB Machine Learning, we said that machine learning is based on the concept of learning by example--knowledge gained by starting from a set of positive examples or instances of the concept to be learned, and negative examples or non-instances of the concept. In this regard, let's not forget that this concept is borrowed from the human experience, which has always been based on learning on analysis through the series of examples.
After analyzing in detail the different machine learning algorithms, it is time to put them to practice. This last chapter is meant to be a short reference, covering some of the major machine learning algorithms. In this chapter, you will just apply what has been learned. You can explore regression, classification, and clustering algorithms applied to datasets resulting...
