A Knowledge Base for SE4ML

The field of machine learning has witnessed a remarkable growth in the past years [Agg+22] [Nas+19] [Mar+22]. As machine learning practitioners explore this rapidly evolving field, the need for effective knowledge organization, accessibility, and extendability becomes increasingly evident. There is a lot of information available on machine learning in form of mastertheses and other research. New Developers should profit from the already present information on Machine Learning. They need to understand how to use the right tools correctly. Furthermore they need guidance in form of best practices and potential pitfalls. This thesis addresses these challenges by presenting a knowledge base designed to support machine learning developers in their efforts.

Project information

Status:

Finished

Thesis for degree:

Bachelor

Student:

Enno Ludwig

Supervisor:
Part of research project:

SE4ML - Processes, People and Tools

Id:

2023-026