Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...

In 2026, some of the busiest traders in financial markets may no longer be Wall Street analysts sitting behind multiple ...

The first two authors contributed equally to this work and are first co-authors.

Abstract: This study presents an ensemble-based approach for cocoa pod disease classification by integrating transfer learning with three ensemble learning strategies: Bagging, Boosting, and Stacking.

Predictive modelling of tunnel boring machine performance integrates geological, mechanical and operational data to forecast key metrics such as penetration rate, advance rate and cutterhead torque.

Predictive modelling in critical care integrates high-dimensional data sources to forecast patient trajectories and optimise decision-making. Advances in machine learning have enabled the analysis of ...

In this tutorial, we build an embodied simulation vision agent that learns to perceive, plan, predict, and replan directly from pixel observations. We create a fully NumPy-rendered grid world in which ...

Abstract: Cybersecurity risk assessment models traditionally forecast possible breaches using historical data and observed attack patterns. These techniques presume breaches can be avoided given ...