Fundamentals Of Machine Learning – Siena

Argomenti del programma: Introduction to learning principles, learning protocols: supervised, unsupervised, semi-supervised, active learning; multitask learning, biological and artificial neurons, neural network architectures, learning principles, biological and artificial neurons, neural network architectures, linear machines, normal equations, cases of well- and ill-position, ridge regression, polynomial regression and Vandermonde…