Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...