Data Science Under the Hood: Manifold Learning

Data Science Under the Hood: Manifold Learning This talk introduces Manifold Learning, the technique to uncover the intrinsic shape of the original data. We also discuss how different manifold learning paradigms can be designed to be incorporated to a dimensionality reduction technique to learn the accurate low-dimensional data representation. Register now

Threat or opportunity: Will healthcare Artificial Intelligence de-skill clinicians?

Threat or opportunity: Will healthcare Artificial Intelligence de-skill clinicians? Progress in Artificial Intelligence (AI) promises to transform the delivery of healthcare, including in screening and diagnosis. These AI tools promise to improve the accuracy and speed of results for patients, and to make clinical workflows more efficient and productive. However AI implementation also raises risks,…

ACEMS Virtual Public Lecture – Hypocrisy ++

ACEMS Virtual Public Lecture - Hypocrisy ++ There are two popular, but competing, philosophical theories which attempt to answer this question, usually referred to as the 'subjective' and the 'frequency' approaches. These theories are often claimed to form the foundations, respectively, of the Bayesian and frequentist interpretations of statistics. In this public lecture, Professor Burdzy…