Recap

For those who already took CCCS 650, this whole module may feel a bit like a recap since we examine — under a metaphorical microscope — a fundamental concept of how machine learning (ML) works. ML is the flavor of AI in which no logic is necessarily formally expressed as part of the system design, but instead there is an attempt to use statistics to infer some logic from input data.

In this module we go into details of what exactly does a perceptron do in order to have a clear understanding of what it can and cannot do.