Data Science Method Explorer

  • Subject:Data Science Method Explorer
  • Type:Bachelor and Master
  • Supervisor:

    Sven Scheu

  • Add on:

    Available

  • Motivation & Problem Description

    Data science is a growing field in practice and research. With the advent of AI and the general trend towards increasing degrees of digitalization this trend will continue for the forseeable future. To guide the development of data science based information systens we want to better support the utilizations of methods that span the whole lifecycle of the project. With a method as common ground this should also help to better connect data scientists and domain experts in their shared effort to create the system.

    Goals

    The primary goal is to create a web based tool to view and compare different methods. As part of this a sensible approach how to store and verify models of these methods has to be developed.

    Required Skills

    • Good javascript skills preferably also Vue.js
    • Interest in data science methods

    Contact

    If you are interested in this practical seminar, please contact me via email (Sven Scheu).

     

    References & Starting Literature

    • Microsoft (2017). https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/overview.