Machine Learning for Business Applications (WiSe)

We offer this course from Winter Semester 2023/24 onwards. The lecture content covers the theory of Machine Learning for Business Applications and required fundamentals.

To participate in this course, you have to enroll via TUMonline.

Mandatory Prerequisites

• Mathematics in Natural and Economic Science 1
• Statistics for Business Administration

Intended Learning Outcomes

After participating in this lecture, students have a basic knowledge in the domain of machine learning. Moreover, they have an overview of recent developments and topics. They are able to apply a machine learning framework to a practical problem, know the advantages and disadvantages of various methods and are able to identify and circumvent typical pitfalls.

Course Organization

Topics include but are not limited to:

• Naive Bayes & Bayesian Networks
• Decision Trees
• Ensemble Methods & Clustering
• Regression & Causal Inference
• Data Preparation, Generalization & Evaluation