For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

The Artificial Intelligence & Machine Learning graduate program provides students with the skills to succeed in AI. Further your tech career at Drexel CCI.

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

The CB1 receptor, a key component of the endocannabinoid system, influences mood, pain perception, and appetite regulation, making it a valuable yet complex target for therapeutic development.

Industrial condition monitoring leverages transfer learning to enhance equipment diagnostics. However, existing deep transfer learning (DTL) methods face a critical challenge, which still requires ...

SoFiE Financial Machine Learning Summer School "Financial Machine Learning" July 28 – August 1, 2025 The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based ...

This Jupyter Notebook demonstrates the implementation of the Random Forest Classification algorithm using Scikit-learn. It is used to classify data by building an ensemble of decision trees and ...