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Machine Learning

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?

Skills: Machine Learning (ML), Algorithm, Matlab and Mathematica, Mathematics, Python

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( 18 reviews ) hangzhou, China

Project ID: #29478107

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