Artificial intelligence (AI) is increasingly applied to health care problems, harbouring a huge potential to analyse and combine complex datasets from different sources. Machine learning (ML) methods are at the core of AI applications. However , it is not always clear when ML is the most appropriate methodology and what are its advantages and disadvantages.
In this webinar, the speaker will draw a comparison between the classical statistical approach and the ML approach, illustrating differences in goals, data types and measures of model quality.
Speaker: Dr. DraganaVuckovic, Lecturer in Computational Epidemiology and Biostatistics at Imperial College of London
Room Zoom with interactive participation:
ID riunione: 854 1250 6783
Il webinar è una iniziativa della Commissione ricerca della SISMEC