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Join UJ for a workshop on machine learning this December

Machine learning is one of the most talked about topics in tech and the University of Johannesburg (UJ) is organising a workshop next month to properly delve into this new world and approach it from various academic disciplines.

This is why the event is the second of its kind which is co-hosted by various arms of the University including the Faculty of Science, the Faculty of Engineering and the Built Environment and the Data Science Across Disciplines (DSAD) Research Group which itself is based in UJ’s Institute for the Future of Knowledge.

The event has a rather long name to mirror its complexity and interdisciplinary nature with this referred to as the 2nd Annual Postgraduate Workshop on Remaking the World through
Machine Learning.

“The theme of the workshop is the impact that Machine Learning tools, technologies, and algorithms, can have on the various social, economic, and technical hurdles we Face daily. The Fields of Data Science and Machine Learning allow us to apply a cross-disciplinary and complex lens to the multi-layered challenges of the 21st century. This event aims to educate postgraduate students with this in mind, so that they may not only envision, but also create, a more remarkable world. The event will be both physical and virtual, with all talks presented in the morning streamed live for a larger audience, and afternoon practical sessions For postgraduate students hosted in the venue,” an announcement reads.

The proceedings will be hosted both online and in-person opening up more opportunities to get involved.

Postgraduate students who wish to part of the practical, in-person sessions can indicate this in their registration which is linked to below together with other key details.

When:

  • 6th – 10th December 

Where: 

  • Morning Sessions: Zoom link to be provided upon registration.
  • Afternoon Sessions: G02 Lecture Theatre, A-ring, Auckland Park Kingsway Campus, University of Johannesburg.

Registration: 

Schedule 

[Image – CC Gordon Johnson on Pixabay]

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