
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
In this webinar, an Opti-Num Solutions/MathWorks team introduced machine learning with MATLAB – a computing platform widely used by engineers and scientists. They applied a variety of machine learning techniques, with a focus on applying an ensemble of regression trees, to illustrate forecasting the 10-day volatility of Bitcoin. This illustration demonstrated the simplicity of implementing a MATLAB workflow to solving a complete machine learning problem, consisting of data acquisition, preprocessing, model building and validation. Additionally, the facilitators shared sites to access learning tools for MATLAB programming and Machine Learning. The lecture was given by Hazel Chieza, a graduate engineer at Opti-Num Solutions, and Dr. Marco Rossi is EDU Customer Success Engineer at MathWorks.
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