Selected Topics in Statistical and Machine Learning

Instructor: 
Guest Instructor: 
Almond Stöcker
Time I: 
Thursday,
02:00pm to 04:00pm
Time II: 
Wednesday,
08:30am to 10:00am
Venue I: 
HU Berlin, Spandauer Str. 1, Room 22
Venue II: 
HU Berlin, Spandauer Str. 1, Room 203
Description: 

Information on how to attend the online course will be available on Moodle.

The lecture deals with theoretical and practical concepts from the fields of statistical learning and machine learning. The main focus is on predictive modeling. The weekly tutorial applies these concepts and methods to real examples for illustration purposes. You are expected to work throughthe exercises for the tutorials. They will typically consist of proofs of theory and programming tasks like the implementation of algorithms.

The registration to the moodle course is obligatory.

Credits: 
6.00
Program: 
Semester: 
Spring 2020
Affiliation: 
Humboldt-Universität zu Berlin