30227
Vertiefungsseminar
Introduction to Machine Learning for Social Sciences
Bruno de Castanho Silva
Kommentar
From chatGPT to policy design and implementation, machine learning algorithms are ubiquitous in a big data world. Their potential is now being explored in the social sciences. In this course participants will learn the fundamentals of machine learning as a data analysis approach, and will have an overview of the most common and versatile classes of ML techniques in use today and how they can be applied to sociological research. The goal is that at the end participants will be able to identify what kind of technique is more suitable for different questions and data, and how to design, test and interpret their models. They will also be equipped with sufficient basic knowledge to proceed independently for more advanced algorithms and problems. This is an introductory course, so that math and programming technicalities will be kept to a minimum, but it is good if students are familiar with linear regression. The practical applications are done in R, and having worked with it before is certainly helpful. Schließen
13 Termine
Regelmäßige Termine der Lehrveranstaltung
Do, 18.04.2024 14:00 - 16:00
Do, 25.04.2024 14:00 - 16:00
Do, 02.05.2024 14:00 - 16:00
Do, 16.05.2024 14:00 - 16:00
Do, 23.05.2024 14:00 - 16:00
Do, 30.05.2024 14:00 - 16:00
Do, 06.06.2024 14:00 - 16:00
Do, 13.06.2024 14:00 - 16:00
Do, 20.06.2024 14:00 - 16:00
Do, 27.06.2024 14:00 - 16:00
Do, 04.07.2024 14:00 - 16:00
Do, 11.07.2024 14:00 - 16:00
Do, 18.07.2024 14:00 - 16:00