Institutionernas doktorandkurser

Startdatum och periodicitet för kurser kan variera. Se detaljer för respektive kurs för aktuell information. För anmälan, kontakta respektive kursansvarig. 


Statistics and machine learning in high dimensions

  • Kurskod: FEEN001
  • ECTS-poäng: 7,5
  • Institution: ELEKTROTEKNIK
  • Forskarskola: Signaler och system
  • Periodicitet: every year in SP1
  • Undervisningsspråk: Kursen kommer att ges på engelska
  • Nordic Five Tech (N5T): Kursen är kostnadsfri för doktorander från N5T-universitet
Aim
The explosion in the volume of data collected in all scientific disciplines and in industry requires students interested in statistical analyses and machine-learning and signal-processing algorithms to acquire more sophisticated probability tools than the ones taught in basic probability courses.

This course provides an introduction to the area of high-dimensional statistics, which deals with large scale problems where both the number of parameters and the sample size is large.

The course covers fundamental tools for the analysis of random vectors, random matrices and random projections, such as tail bounds and concentration inequalities.

It further provides concrete applications of such tools in the context of generalization-error analyses in statistical learning theory, sparse linear model, and matrix models with rank constraints.

Additional information
The course is also part of the master program in information and communication technologies (MPICT). Additional information is available in the student portal
Application code: 13117

Note! For application for PhD students please register here:
Form Application for first/second cycle course for doctoral student at Chalmers
Litteratur
Föreläsare
Giuseppe Durisi durisi@chalmers.se
Mer information

Sidansvarig Publicerad: on 10 feb 2021.