Presenter(s): Marco Puts & Piet Daas (CBS), CBS
Date: 11 May 2021
Show some caveats when using machine learning algorithms and give an insight what it means to use machine learning for statistical purposes.
Webinar learning outcomes
Know how to identify problems with machine learning algorithms.
Be aware of coverage and representativity of the population in the training set.
Understand what is needed to validate a ML model.
Correlation vs. Causation
Annotations and the asymptotical behavior towards annotated data.
Representativity of training sets
Bias in classifications
Prerequisites for the webinar
Further reading and resources
Recording of the webinar