Machine Learning with R - Introduction (GSERM Ljubljana 2024)

Machine learning, put simply, involves teaching computers to learn from experience, typically for the purpose of identifying or responding to patterns or making predictions about what may happen in the future. This course is intended to be an introduction to machine learning methods through the exploration of real-world examples. We will cover the basic math and statistical theory needed to understand and apply many of the most common machine learning techniques, but no advanced math or programming skills are required. The target audience may include social scientists or practitioners who are interested in understanding more about these methods and their applications. Students with extensive programming or statistics experience may be better served by a more theoretical course on these methods.

Course leader

Brett Lantz from Sony Intractive Entertainment
https://gserm.org/instructors/brett-lantz/

Target group

The target audience may include social scientists or practitioners who are interested in understanding more about these methods and their applications. Students with extensive programming or statistics experience may be better served by a more theoretical course on these methods.

Course aim

The course will be designed to be interactive, with ample time for hands-on practice with the Machine Learning methods. Each day will include several lectures based on a Machine Learning topic, in addition to hands-on “lab” sections to apply the learnings to new datasets (or your own data, if desired).

Credits info

4 EC
At the end of the course, participants receive a Certificate of Attendance and a Transcript of Records (if taking part in final examination).

Fee info

CHF 1000: Flat early bird discount worth CHF 100.00 (valid until 31 October 2023)

Scholarships

No.