Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Polymarket acquires Dome to expand prediction market developer tools

Polymarket has acquired Dome, a Y Combinator backed startup building unified infrastructure for prediction markets, marking ...

How AI Inference Costs Are Reshaping The Cloud Economy

The shift from training-focused to inference-focused economics is fundamentally restructuring cloud computing and forcing ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
University of California, San Francisco

AI Bots Accurately Analyze Big Data Set to Predict Preterm Birth

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
IEEE

Comparative Analysis of Flood Prediction Using Linear Regression

Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...