Nature

Feature Selection Techniques in Machine Learning Systems

Feature selection is a critical pre-processing step in machine learning that seeks to identify a subset of input variables most relevant to predictive modelling. By reducing dimensionality, it ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
dbta

Redis Feature Form Delivers an Enterprise Feature Store for Production Machine Learning

Redis, the world’s fastest data platform, is releasing Redis Feature Form, a managed feature store platform built to help enterprise ML teams bring features into production with more control, ...