Then we discuss some specific methods from the ML literature that we view as important for empirical researchers in economics. These include supervised learning methods for regression and ...

The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

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

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.

Chip development teams have long been clamoring for a better way to manage and debug regression loops. Recently, artificial intelligence (AI) using machine learning (ML) technology has become ...

Regression is a vital tool for predicting outcomes in investing and other pursuits. Find out what it means when applied to machine learning.

Discover how machine learning shows high accuracy for HIV prediction but needs better validation before use in STI clinical ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...