talk_2019-03-05

about me:

  • Professor für Wirtschaftsinformatik at HAW Landshut since 2014
  • 2006 - 2010 senior researcher at Ontoprise:
  • studies of computer science, philosophy, pedagogics; PhD in moral philosophy

currently spending part time (50%) sabbatical at DWS group

  • feb-may 2019
  • feb-may 2020?
  • also sept 2019??

goals of sabbatical:

  • learn ML / data science
  • prepare practical (as opposed to theoretical) part of a master course in predictive analytics with Python
  • find an approach how to integrate semantic background knowledge with ML:
    • the general Q is: How can we improve ML (here: ElasticNet model generation) by adding semantic background knowledge?
  • side conditions:
    • *applied* science - both from a technical and a cognitive point of view
    • applicable in small and medium-sized enterprises (SME, de:KMU)

next steps:

  • understand what people at DWS group are working on
    • get into contact, listen
    • be creative, get inspiration
  • learn Pandas and scikit-learn
  • understand in detail regularized regression, i.e. ridge, lasso, lars, ElasticNet
  • hands-on: conduct a (rather small) project -> talk_2019-03-05_project