Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Regression trees and their ensembles are among the most popular ML algorithms in use today. Their theoretical properties, however, are still an active topic of research, with many open questions. In t ...

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We live in an era of rapid technological advancement. With new technologies emerging at an ...

MLCommons, a group that develops benchmarks for AI technology training algorithms, revealed the results for a new test that determines system speeds for training algorithms specifically used for the ...

The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...

The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...