ELLIS Unit Madrid: 18th Machine Learning & Advanced Statistics Summer School
The goal of this summer school is to complement the technical background of attendees in the field of data analysis and modelling. The courses are open to any student or professional wanting to enrich her knowledge of a topic that is more and more involved in nearly all productive areas (Computer Science, Engineering, Pharmacy, Medicine, Economics, Statistics, etc.). A second goal is to get the student acquainted with a set of computational tools for applying the learned techniques. This may involve tackling practical problems from the student’s own work environment, i.e., working with a student’s own data set.
12 courses of 15h each are offered during 2 weeks.
The courses are intensive and aim to introduce both the theoretical foundations and the practical applications of modern statistical analysis techniques. The students are free to choose the courses according to their interests, with the only restriction being that courses which are given in the same time block (e.g. C01 and C02; C03 and C04;…) are mutually exclusive.