Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

A 24-week live online programme that builds applied AI capability, from core analytics to production deployment, with a ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

A microarray is a set of samples, for example DNA, RNA or proteins, arranged on a solid substrate or chip, such as a glass slide or silicon film, that is used in high throughput experiments.