Time: Wednesday 27-May-2020 16:00
Live in 1 day & 21:30:44
Motivation / Abstract
Professor Ernest will walk us through a statistical framework for model selection. His emphasis on investigating underlying probabilistic phenomenon is crucial to a methodical understanding of how the data behaves. This consistency will be shown through every step of the modelling journey; choosing the most appropriate metric for model accuracy and likelihood function, aggregation techniques, and how to evaluate model performance from a probabilistic and statistical perspective.
- Choosing appropriate metrics for model accuracy - Choosing appropriate likelihood functions - Aggregation techniques - Model performance evaluation ... But from a probabilistic perspective