Machine Learning for Business

Introduksjon

Please note that this is a preliminary course description. The final version will be published in June 2026.

This course teaches students how to use machine learning techniques and tools for predictive analytics. The course will also teach students to: specify problems accessible with these methods, evaluate analytics models, use new tools in the rapidly evolving automated machine learning field, and deploy machine learning models. The course assumes prior experience with: basic probability theory, traditional statistics for categorical and continuous independent variables, introductory Python programming, and MS Excel.

Kursets innhold

• This course focuses on predictive analytics using machine learning: supervised learning (classification and regression). The course will also introduce unsupervised learning, including clustering and dimensionality reduction, and time series modelling. Students will implement and tune individual machine learning algorithms (e.g., via Python’s scikit-learn library), and work with automated machine learning tools. In addition to lectures, the course will include cases.