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GGS Workshop: "Machine Learning with Python"

Wann

24.03.2025 09:00 bis 27.03.2025 17:00 (Europe/Berlin / UTC100)

Wo

Room 001, Licher Strasse 68, 35394 Giessen

Name des Kontakts

Telefon des Kontakts

0641-99 21370

Teilnehmer

Doctoral candidates or postdoctoral researchers doing empirical research or intending to work as data scientists.

Termin zum Kalender hinzufügen

iCal

Instructor:   Dr Tobias Keller
Dates:   March 24, 25, 26 and 27, 2025, 9.00 am – 4.00 pm respectively
Max. participants:   10
Course language:   English (German, if required)
Registration Deadline:   March 14, 2025
ECTS:   3

Objectives

In this follow-up course, participants reinforce and add to their knowledge of machine learning concepts solving classification and regression problems with Python. Through application, they strengthen their understanding of machine learning algorithms, evaluation techniques and measures, and learn how to combine data preparation and algorithms in machine learning pipelines.

In addition, participants will be introduced to more advanced concepts, focusing on model selection (including hyperparameter tuning and algorithm selection) and approaches to understanding “black box” models (also known as explainable AI, “XAI”).

 

This course is a follow up of the former GGS course "Introduction to Machine Learning".
For registration you either must have undergone this course or be able to prove similar knowledge.

You can find more details in the syllabus "Machine Learning with Python".