Explore machine learning techniques to optimise your data analyses for informed business decision-making. Machine learning is becoming an increasingly important analytical tool, enabling businesses to ...

A new framework, Arbor, they claim, preserves hypotheses, experiments, and lessons learned across long-running research tasks ...

Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...

Abstract: This article proposes a new rainfall-type classification method using the differential attenuation rates (DARs) calculated from microwave links with multiple frequencies and dual ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

PIMA Indian Diabetes Dataset (binary outcome: diabetic / non‑diabetic). A positive trend is visible: higher glucose levels tend to accompany higher insulin levels. Two clusters appear (red and gray), ...

This project applies machine learning models to predict gallstone disease using clinical and body-composition data. The workflow includes preprocessing, Grid Search hyperparameter tuning, model ...

Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...

STK2100 gives an introduction to different methods for supervised learning (regression and classification). The course contains both model and algorithm based approaches. The main focus is supervised ...

A washable, stretchable fabric sensor embedded directly into clothing can recognize yoga postures with 94.4% accuracy, ...