Machine Learning - 3 Things You Need to Know - MATLAB & Simulink

Supervised machine learning builds a model that makes predictions based on evidence in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data. Use supervised learning if you have known data for the output you are trying to predict. Supervised learning uses classification and regression techniques to develop predictive models. Classification techniques predict discrete responses--for example, whether an email is genuine or spam, or whether a tumor is cancerous or benign.