
Ethics in the 4IR
Data Science Across Disciplines 17:00 – 18:30 Thursdays: 3, 10 and 17 August 2023 Register here This webinar series explores the ethical challenges and considerations
UJ Institute for the Future of Knowledge
This webinar was on the general workflow of predictive maintenance models in order to understand the key aspects and the critical points aimed at obtaining accurate and robust algorithms. The workflow was employed for a real case study – a flow pack machine. Using sensors and synthetic data, the webinar explored importing, pre-processing, and labelling data, as well as selecting features (A.K.A healthy/faulty condition indicators) aimed at training and comparing multiple machine learning models. The lecture also focused on how MATLAB and Simulink can offer an integrated platform to design a digital twin and implement machine learning algorithms. The MATLAB environment provides dedicated capabilities to help the user to face Predictive Maintenance through a systematic approach, as well as a quick and easy interactive experience. The talk was given by Dr Marco Rossi is an EDU Customer Success Engineer at MathWorks, Italy.
Data Science Across Disciplines 17:00 – 18:30 Thursdays: 3, 10 and 17 August 2023 Register here This webinar series explores the ethical challenges and considerations
Data Science Across Disciplines 09:00 – 17:00 Monday, 10 July 2023 – Thursday, 13 July 2023 Register here Message from the organizers The theme of
Data Science Across Disciplines Wednesday 2 November 2023 Register here Data Science Across Disciplines (DSAD), a research group within the University of Johannesburg’s Institute for
Data Science Across Disciplines 17:00 – 18:30 Thursdays: 3, 10 and 17 August 2023 Register here This webinar series explores the ethical challenges and considerations
Data Science Across Disciplines 09:00 – 17:00 Monday, 10 July 2023 – Thursday, 13 July 2023 Register here Message from the organizers The theme of
Data Science Across Disciplines Wednesday 2 November 2023 Register here Data Science Across Disciplines (DSAD), a research group within the University of Johannesburg’s Institute for