HDR UK Applied Analytics Webinar: Overview of data analytics and machine learning - Thanasis Tsanas (01:15:19)

In this seminar I will aim to provide a succinct generic data analytics structure within which most problems where data is available can be framed. I will briefly touch on data quality requirements, forming the data in a convenient structure for analysis, and data processing. Subsequently, I will provide an overview of the key components of the statistical learning process: exploring statistical associations, dimensionality reduction, statistical mapping, assessing model performance and generalization. I will provide a range of examples from my research work to tie things together and demonstrate how machine learning works in practical settings. I will also demonstrate Matlab open source code that is freely accessible on my website to facilitate analysis across problems. (Thanasis Tsanas) 17/09/2020