The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Daily replacement of typical high-carbohydrate snacks with mixed tree nuts for 16 weeks reduced cravings for sweets and fast ...

Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...

Multiple myeloma is considered incurable, but a third of patients in a Johnson & Johnson clinical trial have lived without detectable cancer for years after facing certain death. By Gina Kolata A ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...