Different machine learning approaches

The term machine learning, as we have seen, is used in a very general way and it refers to general techniques to extrapolate patterns from large sets or to the ability to make predictions on new data based on what is learnt by analyzing available known data. This is a very general and broad definition and it encompasses many different techniques. Machine learning techniques can be roughly divided into two large classes: Supervised and Unsupervised learning, though one more class is often added, and is referred to as Reinforcement Learning.

Supervised learning

The first class of machine algorithms is named supervised learning. Supervised learning algorithms are a class of machine learning algorithms that use ...

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