I'm going through an article on linear regression, and they give the following formula for computing estimates:
The convention is that all vectors are column vectors. So if n
is the number of samples and m
is the number of parameters, hw(x) has dimensions n x 1
, wT has dimensions 1 x m
, and x has dimensions n x m
. The problem is that these dimensions don't work out for matrix multiplication.
Where have I gone wrong here?