Supervised Learning System
Supervised Learning System Machine Learning systems can be classified according to the amount and type of supervision they get during training . There are four major categories: i. supervised learning ii. unsupervised learning iii. semi supervised learning iv. Reinforcement learning Supervised learning In supervised learning , the training set you feed to the algorithm includes the desired solutions, called labels (Figure 1). Figure 1. A labeled training set for spam classification (an example of supervised learning) A typical supervised learning task is classification. The spam filter is a good example of this: it is trained with many example emails along with their class ( spam or ham), and it must learn how to classify new emails. Another typical task is to predict a target numeric value, such as the price of a car, given a set of features (mileage, age, brand, etc.) called predictors . Thi