Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...

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 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...

SAN DIEGO, Nov. 18, 2025 /PRNewswire/ -- AI and Machine Learning Unpacked: A Practical Guide for Decision Makers in Life Sciences and Healthcare by Corina J. Shtir ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Researchers used machine learning to generate highly detailed maps of over 100 million individual trees from 24 sites across the U.S. These maps provide information about individual tree species and ...