Gradient-Descent

Linear Regression with multiple variables It is common to consider more than one features when making a prediction. For example when predicting the price of a house: ...

Overview In the linear regression prediction, we want to find a hypothesis function to predict the future outcome. The method in supervised learning is by using loads of training data sets and a learning algorithm to let the result of the hypothesis function close to the real value as possible as we can. ...