Brainstorming on existing data science challenges
Say you are working on an implementation of a Machine Learning approach for your department. You face an issue regarding the right model to build for your particular data or face a particularly difficult bug.
Design your future data science project
Talk to other data scientists from the University before starting to program it. Benefit from a better initial software design and discuss best practices and orientation from the start.
Attend a training event
... about a specific topic: Natural Language Processing, Deep Learning, Data Visualization, etc.
Examples of sessions
- Natural Language Processing with Marcel Haas. Small topic introduction and hands-on with Jupyter Notebooks.
- Deep Learning introduction (watching and commenting YouTube intro videos together).
Every Friday afternoon from 13.00, after the Coffee and Data sessions, work together on joint projects on-site at the library Singel with other fellow data scientists from the Accelerate or Affiliate program.