Hi everyone,
Do you think this is the right algorithm to approach the problem?
Start with a dummy parameters(omega, alpha, beta)
Calculate the cost function ( J=mod(h(xi)-yi)^2/n y=h(xi)=omega + alpha * xi-1 + beta * ei) is the regression function)
And do a Gradient Descent algorithim with a certain learning rate to find the optimum value of alpha , beta and omega where J is min .
Can this works this way?
Thanks and Regards,
Sudipta