January 2019
Beginner to intermediate
336 pages
7h 58m
English
Consider a linear regression model, given the following hypothesis function:

In this case, the cost function for
is the mean squared error (MSE).
The formula is as follows:

In this formula,
represents the number of training instances. and are the input vector and the target vector for the ith training instance respectively, ...