Machine Learning Algorithms and Applications

General information

Format

In this course, you will experience the role of a typical machine learning researcher. You will:

There are three types of projects:


Working on the project consists of the following steps:

1. Problem statement

Choose a project topic or come up with your own, original idea. Then, write a short problem statement, including your research question, motivation, related work, methodology, and expected results.

2. Working phase

Work on your project and present your work to colleagues and our group. Additionally, you will have regular discussion meetings with your supervisor.

3. Final submission

Write a final report (short or full paper) to present your project, and design a poster. Your poster will be exhibited to your colleagues and our group during a poster session (snacks included, if Covid allows it!) at the end of the semester.

Topics (Tentative)

Here you can find a list of potential projects to choose from:

Applied & theoretical projects

We are happy to supervise machine learning related projects that are connected to our research interests. Examples are:

Analysis of (Bacteriophage) Cocktails (click to expand)
Convexity in real-world graphs (click to expand)
Cross-target Learning (click to expand)
Extracting Emotional Status from Biosignals (click to expand)
Graph-based active learning (click to expand)
Robust Machine Learning (click to expand)
Scalable Interactive Analysis (click to expand)
Predictive maintenance for car chassis components (click to expand)

Competitions & challenges

Machine learning for combinatorial optimization (click to expand)
Kaggle (click to expand)
RecSys Challenge 2022 (click to expand)

Further competitions and challenges:

More competitions and challenges will be added soon!

Your own idea!

Describe the scientific merit and novelty of your idea. It is very important to narrow down the rough topic to a tentative research question and approach of interest to us. The research question should not have been answered previously and the answer needs to be verifiable. To answer the question, typically one has to:

If you choose your own topic, please briefly describe your project following this structure (check our suggested topics to get an idea):

General resources (freely available books and lecture notes)