Course Description
This advanced course aims to provide its students with a highly valuable skill with multiple real-world applications: Unsupervised Machine Learning teaches how to derive insights and construct models that do not rely on the availability of pre-labelled data. The course covers techniques including pattern recognition, clustering, dimensionality reduction, matrix factorization, anomaly detection, and Genetic Algorithms. The course will be accompanied by examples of cutting-edge applications in various business-oriented high-tech applications.
Lecturer