Supervised learning is a machine learning algorithm of inferring a function from labeled training data. The training data consists of a set of training examples.
Example :
Knowing the height and weight identifying the gender of the person. Below are the popular supervised learning algorithms.
* Support Vector Machines
* Regression
* Naive Bayes
* Decision Trees
* K-nearest Neighbour Algorithm and Neural Networks.
Example :
If you build a T-shirt classifier, the labels will be “this is an S, this is an M and this is L”, based on showing the classifier examples of S, M, and L.
