Introduction
In this chapter, we will learn how to make the computer learn about the parameters of a model. Our examples will use various datasets we will build ourselves or other datasets we will download from various websites. There are many datasets available online and we will use data from the UCI machine learning repository. These are made available by the Centre for Machine Learning and Intelligent Systems of the University of California, Irvine (UCI).
For example, one of the most famous datasets is the Iris dataset where each data point in the dataset represents the characteristics of an iris plant. Different attributes are used such as the sepal length/width and petal length/width.
It is possible to download this dataset and store it into a data.frame in R as we will do most of the time. Each variable is in a column and we will use i.i.d data (or assume...
