While building machine learning models is fundamental to today’s narrow applications of AI, there are a variety of different ways to go about realizing the same ends. So-called machine learning ...

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

The insights available through effective machine learning models can help businesses develop customer personas, clarify marketing efforts, improve the user experience for their products and ...

This fundamental (and quite reasonable) limitation of any machine learning technique is addressed by feature selection: choosing a good set of features upon which to build models.

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

Donor selection practices for matched unrelated donor (MUD) hematopoietic cell transplantation (HCT) vary, and the impact of optimizing donor selection in a patient-specific way using modern machine ...