Indian American statistician to lead journal amid biosciences being transformed by powerful statistical, machine learning and ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Main opportunities in predictive analytics for healthcare involve leveraging AI and machine learning to improve patient ...
Discover Taiwo Feyijimi's work at the crossroads of AI, engineering, and learning. Explore his innovative frameworks shaping ...
The North America Marketing Automation Software Market offers substantial growth prospects driven by increased digitalization ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Cut through the AI hype with these expert-vetted podcasts, newsletters, and courses that help busy executives learn what ...
NBTE has disclosed plans to introduce a new decentralised machine learning and AI system for Nigerian polytechnics.
The government is using over 300 data sources to refine GDP calculations, according to MoSPI Secretary Saurabh Garg. He also ...
Companies turn to independent professionals to power digital operations with human touch, but skill gaps loom as a top challenge for 39% of ...
The Federal Aviation Administration (FAA) issued a request for information (RFI) related to “a single, state-of-the art platform for air ...
Apart from technical proficiency, Mechanical Engineering students must also develop emerging skills aligned with digitisation ...