loss-function

The second weekly paper on how machine-learning models learn, fail to generalize, and are evaluated

A learning note on how hypothesis functions, loss functions, partial derivatives, and gradient vectors lead to gradient descent.

A learning note on linear regression, mean squared error, and why the loss function takes theta as input.