Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Beyond the Black Box A Framework for Explainable AI (XAI) in Credit Scoring

In the United States: The Equal Credit Opportunity Act (ECOA) and the Fair Credit Reporting Act (FCRA) require lenders to ...
The White House

Fact Sheet: President Donald J. Trump Imposes a Temporary Import Duty to Address Fundamental International Payment Problems

PROTECTING THE U.S. ECONOMY AND NATIONAL INTERESTS: Today, President Donald J. Trump signed a Proclamation imposing a temporary import duty to address fundamental international payments problems and ...
Wall Street Journal

Billionaires’ Low Taxes Are Becoming a Problem for the Economy

California’s plan to hit its richest residents with a one-off wealth tax is a long shot, and its design has problems. But a look at who picks up the tab when billionaires scrimp on taxes, and how ...
Morningstar

College sports has a new money problem - and St. John's may be the latest example: 'It's the Wild West'

St. John's University fired its basketball program's general manager, Matt Abdelmassih, this week. He was reportedly managing a $10 million roster. St. John's University spent $10 million on its ...
Sports Illustrated

This player's regression is creating a major problem for the 49ers

One of the fun revelations of the season was Ji’Ayir Brown rising back into a starting spot for the San Francisco 49ers. However, the fun story is starting to sour at a bad time for the team and it is ...
The New York Times

Harris’s Memoir Is Another Example of the Democrats’ Problem

Three Opinion writers break down the former vice president’s book of excuses. By Michelle Cottle Carlos Lozada and Lydia Polgreen Produced by Vishakha Darbha Three Opinion writers weigh in on Kamala ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...