Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
LinkedIn

Logistic Regression: Understanding the Concepts Behind a Fundamental Classification Algorithm

Machine learning models are often introduced as tools for making predictions, but the real value of a model lies in understanding how it represents relationships in data. Logistic Regression is one of ...
Business Wire

Tempus Announces Novel Pan-Cancer HRD-RNA Algorithm

CHICAGO--(BUSINESS WIRE)--Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine, today announced the launch of its new HRD-RNA algorithm. This ...
IEEE

Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model

Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
LinkedIn

Logistic Regression implementation in Python

In my 29th article, we delved into the fascinating world of Machine Learning (ML) and explored one of its foundational algorithms: Linear Regression. In this article, we’re taking the next step in our ...
eWeek

What is Logistic Regression? A Comprehensive Guide

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
IEEE

Predictive Analysis of Network-Based Attacks by Hybrid Machine Learning Algorithms Utilizing Bayesian Optimization, Logistic Regression, and Random Forest Algorithm

Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...
Nature

Logistic regression analysis and machine learning for predicting post-stroke gait independence: a retrospective study

This study investigated whether machine learning (ML) has better predictive accuracy than logistic regression analysis (LR) for gait independence at discharge in subacute stroke patients (n = 843) who ...
RG

The Best Algorithms for Sports Betting: A Guide to Making Informed Decisions

Sports betting has evolved from simple wagers on game outcomes into a data-driven industry built around statistical analysis and predictive modeling. One of the most influential tools in this shift is ...
The New York Times

An Algorithm Told Police She Was Safe. Then Her Husband Killed Her.

Adam Satariano and Roser Toll Pifarre interviewed more than 50 victims, families, police, government officials and other experts about Spain’s gender violence program. In a small apartment outside ...