Question: Machine Learning Problem Perform the optimization problem of finding the minimum of J(x) = (2x-3) 2 by: (i) defining theta, J(theta), h(theta) as defined in
Machine Learning Problem
Perform the optimization problem of finding the minimum of J(x) = (2x-3)2 by:
(i) defining theta, J(theta), h(theta) as defined in the Stanford Machine Learning videos in Coursera;
(ii) plotting J(theta) vs theta.
(iii) determining its minimum using gradient descent approach starting from a random initial value of theta = 5. Perform the search for the minimum using the gradient descent approach by hand calculations, i.e., step 1, step 2, etc. showing your work completely.
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
