MachineLearnAthon is an Erasmus+ funded educational research project that aims to introduce a new teaching format focused on machine learning (ML) competitions.
Instead of starting with theory and moving to implementation later, we use ML challenges as a lesson plan. Based on real tasks from practice, we create the material needed to solve the set challenges and present it to students in the form of micro-lectures (< 10 minutes), while we also present students with tools for solving these challenges. Students who work in (international and interdisciplinary) teams can use the data from the challenge and directly apply the acquired knowledge to solve the assigned task whenever and however they see fit.
We use public leaderboards to encourage competition, motivating students to come up with creative approaches to improve their own original solutions and outperform their peers.
The material is intended for teams of students from diverse fields (informatics, business economics, engineering and logistics) with different levels of programming and ML knowledge, from beginners trough intermediate to advanced.
The MachineLearnAthon aims to improve data literacy and practical knowledge of ML (from data collection to deployment) and raise awareness of both the potential and risks associated with ML. In addition, the international and interdisciplinary arrangement of the project consortium serves to support cooperation between students and teachers.
You can find more information about the project at:
