Topic outline

  • Statistics and Machine Learning for Life Sciences

    streamed from Basel, 09-10 December 2021

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

    For any assistance, please contact training@sib.swiss.

    • Technicalities

      Please ensure that the following tools are installed on your machine PRIOR to the course:
      - one of the latest Python 3 distributions (preferably above or equal to python 3.8), for instance installed with conda
      - the scipy library (NB: if you installed conda, then this library is already installed)
      - the scikitLearn library
      - the statsmodels library
      • Schedule

        Thursday 09/12:

        09:00 : beginning of the day - greetings

        • getting to know each other

        • 10’ break around 10:30

        • Ordinary Least Square regression 

        12:30 - 13:30 : lunch break

        • Introduction to Generalized Linear Models (10’ break around 15:30)

        17:00 : end of the day - discussion


        Friday 10/12:

        09:00 : beginning of the day - greetings

        • From Regression to the Machine Learning Pipeline (10’ break around 10:30)

        12:30 - 13:30 : lunch break

        • Machine Learning : SVM, Decision Trees and Random Forest (10’ break around 15:30)

        • Discussion

        17:00 : end of the day