Let talented students from the Master Artificial Intelligence help you out with a Machine Learning Challenge.
After following courses on different topics on Artificial Intelligence the master students are ready to put this all into practice in a AI consultancy project. You can bring your question and data and let students consult you on what you can (or maybe cannot) learn from and/or do with your data.
✅ Key features of the challenge
Students per team: 3-4 students.
No. of hours spent per team: 340 hours
Course: Applied Machine Learning
Program: Master Artificial Intelligence
Duration: February 2 - June 25
Supervision: Student teams will be assigned internal supervisors (with extensive industry experience) at the university to monitor their progress. The details and content of the project are mainly under the supervision of supervisors in the company.
Deliverables: Presentation and report with recommendations.
Company time investment: 10-16 hours
Matching fee: €850,- (ex tax, charged by Master Challenge (NOT the university)).
📑 Challenge Examples
The student teams can work on challenges that require ML techniques to come up with a solution. Topics of challenges that students can work on:
Support vector machines
Neural networks and deep learning
Optimizations and Regularization
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Clustering, representation learning and Autoencoders
Generative Model
Transformers
And a few concrete examples you can think of:
Drone-Based Anomaly Detection in Industrial Inspections
Object Detection and Tracking for Autonomous Navigation
Sensor Fusion for Enhanced Robot Decision-Making
Warehouse Robot Path Optimization Using ML
Predicting Customer Churn Using Deep Learning
Identifying Product Defects in Images With CNNs
Classifying Customer Support Tickets With NLP Models
Forecasting Energy Usage With Time-Series Models
Detecting Fraud Using Anomaly Detection Techniques
Building a Product Recommendation System
Segmenting Customers With Unsupervised Learning
Predictive Maintenance for Industrial Machinery
Identifying Drivers of Employee Turnover With ML
But any challenge that requires the application of ML techniques to be solved is most likely suitable.
Questions? Want to discuss your challenge before submitting one? Schedule a call here.
🏢 Company requirement
Any company (startup/scale-up/corporate/incubator/NGO) with at least two founders/employees working full-time in the company.
In business for at least 6 months.
Available dataset (there is time for data understanding / cleaning, but this should not require too much work).
As the aim is to give the students the opportunity of experiencing the job on the site, it is preferred to have some time spent at the company/organization or arrange visits.
💰 Costs
To help facilitate this challenge, a matching fee of €850,- (ex tax) per team applies (charged by Master Challenge and NOT the university).
❗️You will only be charged when matched to a team.
📨 How to apply
You can submit the challenge directly through the website. Provide a title that summarises the challenge. Subsequently, briefly elaborate on your challenge. See link for a template you could use: https://link.masterchallenge.me/challenge-template or use the challenge generator: https://masterchallenge.me/challenge-generator
🗓 Planning
January 28: Deadline to submit a challenge
January 28 (or sooner): Receiving message if your challenge is approved by the Course Coordinator
February 5-10: Matching phase
February 8: Student teams rank the challenges
February 9: You rank the teams that want to work on your challenge(s)
February 10: Our matching algorithm will create perfect matches
February 11-14: Kick-off meeting with your team (hand over data to the team)
June 25, 10:00-17:00: Final presentations (offline (preferred) or online) (in times slots of 1 hour)
We're happy to have you on board 👋
This will happen next 👇
Once you are assigned to a team, get together (offline or online) with your team asap, to discuss which challenges you want to work on and why, and submit this selection. Deadline is February 8. Please note, one team member will have to submit the challenge ranking.
Subsequently, the participating organizations will rank the teams that want to work on their challenge on February 9.
Finally, our platform will generate and share the team-challenge matches on February 10.
Once you're matched to a challenge, schedule a kick-off meeting with the company representative on February 11-14. (☝️Use this template). Make sure to prepare for this meeting (e.g. read about the company and the contact person, draft and share an agenda, formulate questions, etc.).
Good luck!