Logistic Regression, Stochastic Gradient, Regularization.
function is linear for smaller values and tapers off for larger values on either side. Easy to differentiate Provides a probabilistic interpretation between 0 and 1. Minimizes the impact of outliers. Log loss function Lets say we have a dataset {X,y}, where X has dimensions n by d and y is what we