1. By applying feature scaling, we can speed up the converge of gradient descent algorithm. t/f?
[login to view URL] linear regression, gradient descent can not converge to a local minimum if we use a fixed learning rate. t/f?
[login to view URL] descent may result in local minimal; this is an issue when applying gradient descent on linear regression.t/f?
[login to view URL] the definition of cost function, we divide the square errors by the number of data examples. This is for the convenience of calculating the gradient.t/f?
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HI I am experienced in [login to view URL] Python Matlab and Mathematica etc I can start right now but i have few doubts and questions lets have a quick chat and get it started waiting for your reply