Introduction to Machine Learning, Part 3: Supervised Machine Learning

From the series: Introduction to Machine Learning

Adam Filion, MathWorks

Learn how to use supervised machine learning to train a model to map inputs to outputs and predict the output  for new inputs. 


Supervised learning techniques take the form of either classification or regression Classification techniques predict discrete responses, whereas regression techniques predict continuous responses. This video walks through different classification and regression algorithms. It also walks through an example that illustrates how supervised machine learning works in the real world.


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