Quote:
Originally Posted by blunderboy
Take the credit card example again..By Linear Regression output, I want to know how much credit amount should be approved for a particular customer.
On Slide 10/23,
Linear Regression output h(x) = Summation(i=0 to d) wi xi = wÌx
This means we are including x0 and w0 in linear regression output. I am not able to understand why do we need to include 0th data where x0 = 1.

This is to allow the linear formula to have a bias term. If the optimal solution does not require a bias term, the algorithm will set
to zero, so there will be no harm done.