Machine Learning, Artificial Intelligence, Deep Learning, Linear Algebra, AI.
p(y | x; θ). The maximum likelihood estimator can be generalized to the case where our goal is to estimate a conditional probability P(y | x;θ) in order to predict y given x . This is actually the most common situation because it forms the basis for most supervised learning Linear Regression as