Computational statistics Statistical Machine Learning

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

IEEE

Explainable Machine Learning for Predicting Computational Thinking Proficiency in K-12 Students Using National-Level Data

Abstract: This study identified key factors that predict computational thinking (CT) attainment among Korean elementary- and middle-school students and provided educational implications for promoting ...

Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Net income is a key financial indicator that reflects the actual performance of the banking sector and its ability to achieve long-term profitability and sustainability. According to World Bank ...

Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

PNAS

Designing strongly coupled polaritonic structures via statistical machine learning

Strong coupling photonics enables precise control of light at subwavelength scales, offering transformative potential in energy conversion and optical information processing. However, designing these ...

IEEE

Accurate Residential Net Load Forecasting With Hybrid Statistical and Machine Learning Techniques Enhanced by Advanced Decomposition Method

Abstract: The increased use of renewable energy (RE) in residential settings is driving the demand for smart energy management systems (EMS) to optimally coordinate the purchasing and selling of power ...

The National Interest

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When to and when not to use machine learning in risk prediction models

Army establishes new AI, machine learning career path for officers

Explainable Machine Learning for Predicting Computational Thinking Proficiency in K-12 Students Using National-Level Data

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

RIT researchers use machine learning to better understand the pathways of disease

Designing strongly coupled polaritonic structures via statistical machine learning

Accurate Residential Net Load Forecasting With Hybrid Statistical and Machine Learning Techniques Enhanced by Advanced Decomposition Method

America’s Statistical System Is Losing Credibility

Quantum Machine Learning: Here’s How Business Leaders Can Prepare Now

SoFiE Financial Machine Learning Summer School

Learning statistics through story: students get creative with numbers