Topic outline

  • Statistical methods for big data in life sciences and health with R

    Lausanne, 4-7 June 2018

    University of Lausanne, room 2020 - Génopode  & room 321 - Amphipôle

    This page is addressed to registered participants. To access course description and application form, please click here.

    For any assistance, please contact

    • Schedule

      Subject to changes

      Day 1.

      • Overview: big data case studies in health domain
      • Identify the general challenges behind big data analysis (model and overfitting)
      • Big data visualisation

      Day 2. 

      • RevoScaleR 
      • Linear models

      Day 3.

      • Big data exploration and classifications
      • Machine learning and decisional algorithms – unsupervised learning

      Day 4.

      • Introduction to: Decision Tree, Random forest, Neural Networks, Deep learning