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Setting the course for machine learning

Last week, a bunch of Arupians participated in a three-day crash course in Machine Learning, developed in partnership with the University of Technology Sydney (UTS) Advanced Analytics Institute. The course was run by Dr. Richard Xu who directs the university’s Machine Learning and Data Analytics Lab (and who is not shy to include a few complementary ‘big data’ jokes).

Our team’s individual backgrounds were diverse — ranging from spatial sciences, software development, geology, transportation, structural engineering and building physics. Although from different fields, we all had a common interest and purpose in learning the skills to apply and scope out Machine Learning and Artificial Intelligence projects within the built environment.

A brief summary of reflections of the experience and applications to the built environment can be found here.

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