Section outline

  • 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