In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, M. and Nketia, E. (2026) Analyzing the Factors Influencing Sovereign Credit ...

LEOMs like open-source Clay automate detailed Earth mapping, enabling rapid analysis for research, government, business.

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

The Tesla Model 3 is the first vehicle built on Tesla's third-generation platform. It aims to reduce the entry price for electric vehicles while not making any compromise on range and performance. The ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

The fashion industry has problems with textile waste and mislabeling. AI tools from Refiberd and HKRITA offer help with sustainable garment recycling.