Machine learning is a scientific discipline that allows a system to learn from data and act consequently without explicit programming.
Nowadays, machine learning forms an inevitable part of life and many of us uses it many times every day without noticing it.
course introduces basic principles of machine learning and creates a
fundamental intuition of its algorithms. Provided topics include: 1)
supervised learning (parametric and non-parametric algorithms,
regression, classification, support vector machines), 2) unsupervised
learning (dimensionality reduction, clustering).
The course will also focus on general machine learning good practices, model performance evaluation and validation.
introduce machine learning algorithms, a Python programming language
Basics of Python programming including data processing and analysis and data visualization is also part of this course.
- Teacher: Martin Rerabek (N Wiss. Mitarbeiter)