A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...

Prediction markets have moved from academic curiosities to regulated financial venues, but the regulatory environment that governs them is still evolving. Wealth management executives now face a new ...

Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...

In other words, Kalshi users would no longer be limited to predicting game results, awards winners, win totals, and end-of-season champions. Instead, they would be able to make these sportsbook-style ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Despite the initial view in Hollywood and on Wall Street that the Trump administration would accelerate consolidation in the media industry, that hasn’t happened. Instead, the president has taken aim ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...