Topic outline

  • Introduction to Machine Learning

    Streamed from Lausanne, 7 - 8 June 2021


    This course will be streamed via Zoom.

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

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

    Please feel free to use this googledoc to ask any question.


    • Software install

      The following tools must be installed PRIOR to the course:


      * latest Python 3 distribution, preferably bundled using conda

      * Jupyter

      * the scipy library (NB: if you installed conda, then this library is already installed)

      * scikitLearn


      Although not mandatory, we also highly recommend you to use the same computer to connect to the zoom classroom and perform the exercises, otherwise we will have difficulties helping you debug your code.
      • Warm-up

        Use the following to check your knowledge:

        * Jupyter notebook with installation information and introduction to libraries used in the course
        * Accompanying data file

        • Schedule and Course Material


        • Exam

          Explore the data set provided and answer the questions of the exam in a jupyter notebook, with some comments explaining what you did.

          You should send your code to isabelle.dupanloup@sib.swiss before Friday June 18th.