In 2025, the field of quantitative research continues to thrive, with new research findings emerging constantly. This article will focus on the recent advanced DID (Difference-in-Differences), machine ...

This article will focus on the recent cutting-edge research literature on advanced DID (Difference-in-Differences), machine learning, and Regression Discontinuity (RD), providing researchers with a ...

Overview: Machine learning tools simplify and speed up AI development.Options include open-source frameworks and cloud AI ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

A research team has unveiled a non-destructive, highly accurate approach for determining the optimal timing of embryo rescue ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Agriculture is one of the largest contributors to global greenhouse gas emissions, releasing carbon dioxide, methane, and nitrous oxide through fertilizer use, livestock production, irrigation, and ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

With increasingly complex market dynamics, traditional personalization alone is no longer sufficient. Enter predictive AI ...

Overview The right book makes R learning simple and practical with real data examples.Beginners, intermediates, and experts ...