Articles, newest first
Improving Elderly Mental Health with Machine Learning and Data Analytics: Transforming Care for an Aging Population
Discover how AI-powered tools are reshaping mental health care for older adults, offering early detection, personalized mood tracking, cognitive monitoring, ...
Read article
Understanding Statistical Models: Foundations, Functions, and Applications
Statistical models lie at the heart of modern data science and quantitative research, enabling analysts to infer, predict, and simulate outcomes from structu...
Read article
Not All Studies Answer the Same Question
There is no universal ladder on which every study can be ranked. A randomised trial, cohort, diagnostic study, mechanistic experiment and meta-analysis can e...
Read article
Extreme Values Do Not Behave Like Ordinary Averages
Averages and maxima obey different asymptotic laws. Two distributions can have the same mean and variance while implying radically different rare-event proba...
Read article
Capture-Recapture: Counting the Defects Both Reviews Missed
Two reviewers went through the same release. One found 313 problems, the other 237, and 153 appear on both lists. The size of that overlap is enough to estim...
Read article
DBSCAN Noise Is Not an Outlier Label
DBSCAN is often used as though its noise label were an anomaly detector. It is not. A point is marked as noise because it fails a density-connectivity rule a...
Read article
Agent-Based Models (ABM) in Macroeconomics: A Mathematical Perspective
Agent-Based Models (ABM) offer a powerful framework for simulating macroeconomic systems by modeling interactions between heterogeneous agents. This article ...
Read article
LLM Agents in Finance: Unlocking Intelligent Automation and Analysis
Large Language Model (LLM) agents are revolutionizing the finance industry by automating complex workflows, generating insightful analysis, and improving dec...
Read article
Introduction to Predictive Maintenance: Transforming Industrial Operations Through Intelligent Asset Management
Predictive maintenance is redefining how industries manage assets, reducing downtime and costs through intelligent monitoring and data-driven decisions.
Read article
Techniques for Monitoring and Managing Model Drift in Production
Model drift is inevitable in production ML systems. This guide explores monitoring strategies, alert systems, and retraining workflows to keep models accurat...
Read article