Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

A novel analysis investigating the contribution of social determinants of health (SDoH) to cardiac aging has found that ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Abstract: This article presents a novel online identification algorithm for nonlinear regression models. The online identification problem is challenging due to the presence of nonlinear structure in ...

Many expected the 27-year-old to take a step back from his 33 goals last season. Instead, he's on pace for 58.

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Abstract: Traffic visibility detection plays a vital role in intelligent transportation, autonomous driving, safe driving, etc. Convolutional neural networks (CNNs) based regression and classification ...

The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

End-to-end ML pipeline that predicts house sale prices on the Ames Housing dataset using ZenML and MLflow. It ingests raw data, handles missing values and outliers, engineers features ...

Splitero reports that automated valuation models (AVMs) quickly estimate property values using data, offering speed and affordability over traditional appraisals.