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Osnabrück Data Analysis Running lecture

Machine Learning I

The course gives an introduction to unsupervised and supervised techniques of machine learning and data mining: Decision trees, clustering, dimension reduction, classification and artificial neural networks.

Lecture + Practice

Bachelor, Master

Statistics, basic mathematics and programming skills
Programming languages: MatLab, Python

Institute of Cognitive Science,

Heidemann et al.
weekly, 2h+2h+2h per week / 8 + 4 ECTS
Visit the course website