Open Access Government

Basic machine learning with lessR : Easy, simple, and free

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Communications of the ACM

Beyond the Pipeline: A Gender Lens on Priorities and Exit Triggers in the High-Tech Industry

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...
IEEE

LogiCode: An LLM-Driven Framework for Logical Anomaly Detection

Abstract: This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on ...
GitHub

A logical, reasonably standardized but flexible project structure for doing and sharing data science work.

Cookiecutter Data Science (CCDS) is a tool for setting up a data science project template that incorporates best practices. To learn more about CCDS's philosophy, visit the project homepage. If you ...
IEEE

A Hybrid Framework Leveraging Whale Optimization and Deep Learning With Trust-Index for Attack Identification in IoT Networks

Abstract: The rise of smart cities, smart homes, and smart health powered by the Internet of Things (IoT) presents significant challenges in design, deployment, and security. The seamless data ...