How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

From Batch Processing to Real-Time Alerts: Rebuilding SNAP Fraud Detection

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...
Analytics Insight

Data Science: Building Machine Learning Models, Harvard University

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
TechAnnouncer

Unlock Your Productivity: Top r/Python Automation Projects You Can Start Today

Python is a great language for automating everyday tasks, from managing files to interacting with websites. Libraries like ...
Frontiers

Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach

1 Department of Neurology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, China 2 Information and Data Center, The Affiliated Yixing Hospital of Jiangsu University, Yixing, ...
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Which Cross-Validation Method Should You Use in Machine Learning?

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...
BMJ

Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study

Objectives Alzheimer’s disease (AD) poses a significant challenge for individuals aged 65 and older, being the most prevalent form of dementia. Although existing AD risk prediction tools demonstrate ...
IEEE

Learning Software Overtime Estimation From Experts‘ Annotations: A Greedy Cross-Validation-Based Machine Learning Approach

Abstract: Effective overtime planning in software projects remains a critical challenge due to the complex interplay between project constraints and human-centric decision-making. This study ...
IEEE

LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics—The Case of Greek Songs

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...