Applied Machine Learning


This course will begin the discussion of problem definition in Machine Learning projects, and other issues with data acquisition, cleaning and exploratory data analysis. Students will also discuss unsupervised learning in the context of developing data for successful machine learning modelling. Prior knowledge of basic programming, linear algebra and statistics is expected.

Register for a Course

  • SP1: May 29 - May 31, 2019

    Open to registration until May 29, 2019. Registering at least one week before the deadline is recommended as this class may fill up or be cancelled due to low enrolment.

    $1695 - Add to Cart

    Format & Location

    In Person course delivery

    Location TBA

    Class Schedule

    May 29 - May 31
    Wed, Thu, Fri 08:30 AM - 05:00 PM