Data Analysis Methods Workshop
Presentations on the topics of clustering, classification, data assimilation, sequence mining, and hyperparameter optimization were given by project members with a background in data science.
In addition to participants directly involved in the project, partners also sent other interested staff.
During the breaks, there was ample time for participants to discuss their current data analytics challenges and get in touch with the experts for advice and general contacts.
Presentation slides are available on the event's page. Also, you can download Jupyter Notebooks supporting the hands-on sessions from this Git repository.
Last updated: 29 Mar 2018