In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

Our eLibrary offers over 25,000 IMF publications in multiple formats. This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Tesla has been granted a patent for a system that uses image data captured by a vehicle’s camera to predict a three-dimensional trajectory of a machine learning feature. The trained machine learning ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...