I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Machine learning models show promise in predicting colorectal cancer and advanced polyps, but validation gaps remain.

Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

Key Takeaways Data science is one of the fastest-growing career fields today.Learning key tools like Python, SQL, and machine ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to improve the speed and accuracy to measure how much carbon is retained and ...

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...

KEYWORDS: Decision Tree, Logistic Regression, Random Forest, Preprocessing, Machine Learning, Accuracy JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.12, December 26, 2024 ABSTRACT: ...