103-0849-AAL Multivariate Statistics and Machine Learning
| Semester | Autumn Semester 2021 |
| Lecturers | K. Schindler |
| Periodicity | every semester recurring course |
| Language of instruction | English |
| Comment | Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. |
| Abstract | Introduction to statistical modelling and machine learning. |
| Learning objective | The goal is to familiarise students with the principles and tools of machine learning, and to enable them to apply them for practical data analysis. |
| Content | multivariate probability distributions; comparison of distributions; regression; classification; model selection and cross-validation; clustering and density estimation; mixture models; neural networks |
| Literature | - Hastie, Tibshirani, Friedman: The Elements of Statistical Learning, Springer 2009 - Bishop: Pattern Recognition and Machine Learning, Springer 2006 - Duda, Hart, Stork: Pattern CLassification, Wiley 2012 |