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 12:30 – 14:00 Monday 26 July 2021 Register here This webinar was on the general workflow of predictive maintenance models
Data Science Across Disciplines Monday 5 July 2021 Register here The aim of this workshop was to provide an overview of some core computational,
Data Science Across Disciplines 10:30 – 12:00 Monday 21 June 2021 Register here Partial Differential Equations (PDEs) with very high-dimensional state and/or parameter spaces
Data Science Across Disciplines 12:30 – 14:00 Monday 26 July 2021 Register here This webinar was on the general workflow of predictive maintenance models
Data Science Across Disciplines Monday 5 July 2021 Register here The aim of this workshop was to provide an overview of some core computational,
Data Science Across Disciplines 10:30 – 12:00 Monday 21 June 2021 Register here Partial Differential Equations (PDEs) with very high-dimensional state and/or parameter spaces
