Machine Learning, Artificial Intelligence, Deep Learning, Linear Algebra, AI.
aijobsboard.com Probability — Probabilistic Supervised Learning Most supervised learning algorithms are based on estimating a probability distribution p( y | x). We can do this simply by using maximum likelihood estimation to find the best parameter vector θ for a parametric family of distributions