2 Types of Machine Learning
maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples
type of self-organized Hebbian learning that helps find previously unknown patterns in data set without pre-existing labels
Hebbian learning is a principle that the strength of the connection between neurons is increased whenever one neuron contributes to the firing of another (Luger, 2005)
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