The task ahead is to make sure that these challenges do not undercut the progress distance education has already made. Over ...

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...

ABSTRACT: In recent years, a considerable amount of scientific research has been conducted on eye tracking, distance/online learning and machine learning. However, there is no comprehensive ...

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 ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

Oliver Mumford receives funding from Liverpool Hope University (Vice-Chancellor's Scholarship). He is the 2025 Ruth Watts Fellow with the History of Education Society UK. When the men’s and women’s ...

Add a description, image, and links to the distance-metric-learning topic page so that developers can more easily learn about it.

These distance (Euclidean|Manhattan) metric programs have been developed using both Python & Java-Script as a subtask of an ongoing project which is the development of the unsupervised learning | K - ...

Proximity to a community college impacts college enrollment and degree completion, particularly for minority and low-income students. Consequently, disparities in geographic access to higher education ...

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.