Statistisches Lernen

Module No. 10-INF-BI01

The aim of this module is to teach foundations of statistical and machine learning.

10 LP = 300 work hours

This module will be taught in flipped classroom mode.

• The e-lecture " Statistical Learning" is completed in self-study.
• Seminar and lab course take place as classroom events.

For Digital Humanities, Data Science, Translatologie:
Seminar and lab course take place on Thursdays 8:15 - 11.15, main building, room SG S-01

For M.Sc. Informatik, M.Sc. Bioinformatik:
Seminar and lab course take place on Thursdays 8:15 - 11.15, Härtelstraße 16-18, PC Pool 006

All: Please attend the introduction to the module on October 12, 2023 9.00h at Härtelstraße 16-18, seminar room 109

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. An Introduction to Statistical Learning : with Applications in R. New York :Springer, 2021.
https://hastie.su.domains/ISLR2/ISLRv2_website.pdf