Machine Learning Day
Instructor: Lorenzo Rosasco (lrosasco at mit.edu)
Universita' di Genova, Istituto Italiano di Tecnologia, MIT
TAs: Georgios Evangelopoulos, Charlie Frogner ([gevang, frogner] at mit.edu)
Course Description
Machine Learning is the key to developing intelligent systems and analyzing data in science and engineering. Machine learning engines enable intelligent technologies such as Watson, Siri, Cortana, Google Now or self driving cars, to name a few. At the same time ML methods help decipher information in our DNA or make sense of the flood of online data, forming the basis of a new Science of Data.
This one day course provides an introduction to the essential concepts and algorithms at the core of modern Machine Learning. Theory classes in the morning are complemented by hands-on lab sessions in the afternoon.
Prerequisites
Basic Probability, Calculus, Linear Algebra