The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
American Institute of Physics

Peering inside the machine learning black box for fusion experiments

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.
Technology Networks

Machine Learning Applications in Proteomics

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

New Report “How to Transition from Data Engineer to Machine Learning Engineer”

Interview Kickstart Publishes Comprehensive 2026 Career Guide. A structured roadmap outlines how infrastructure expertise translates into ...
University of Bristol

Statistical machine learning research

Song Liu is looking for good PhD candidates to work together on statistical machine learning research. In general, the student is expected to utilise statistical ...