AI Agents Fail At A High Rate—Here’s What Logistics Leaders Can Do About It

How are logistics leaders supposed to think about the promise of a still-developing technology as they plan their software ...
Frontiers

Prediction of bacteremia using routine hematological and metabolic parameters based on logistic regression and random forest models

Background: This study aimed to evaluate the predictive utility of routine hematological, inflammatory, and metabolic markers for bacteremia and to compare the classification performance of logistic ...
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 ...
IEEE

Automated Dynamic Stuttered Speech Recognition System and Conversion System using Mel Filter And Enhanced Logistic Regression Model

Abstract: Confidence and communication are both negatively impacted by stuttering, a speech condition that affects more than 70 million people globally. To improve fluency and intelligibility, the ...
TechRepublic

SAS Bets Big on AI Agents, Governance, Data-Driven Decisions

SAS Bets Big on AI Agents, Governance, Data-Driven Decisions Your email has been sent From SAS Innovate, Drew Robb is reporting on the company’s new AI tools and platform updates that enhance ...