Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI.

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 ...

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

Advances in machine learning have made the classification process significantly less tedious and also opened up efficient ways of predicting materials with interesting properties based on basic ...

Xiaoyu Liu, Ph.D., MBA. Assistant Professor in the Department of Health Management and Policy in the College for Public Health and Social Justice at Saint Louis University ...