For example, many types of artificial neural network can be viewed as classifiers that perform a particular kind of statistical calculation (maximum likelihood estimation).26 This perspective allows neural nets to be compared with a larger class of algorithms for learning classifiers from examples—“decision trees,” “logistic regression models,” “support vector machines,” “naive Bayes,” “k-nearest-neighbors regression,” among others.
