Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Abstract: This letter proposes training a lightweight artificial neural network (ANN) in a self-supervised manner using an optimal dataset generated via comprehensive learning particle swarm ...

This workshop will introduce the importance of identifying, understanding, and addressing implementation barriers and facilitators. It will also feature a review of common methods of data collection ...

The Situational Awareness Dataset (SAD) quantifies situational awareness in LLMs using a range of behavioral tests. The benchmark comprises 7 task categories, 16 tasks, and over 12,000 questions.

In this study, we developed a dataset of behaviors associated with lameness in dairy cows. The data collection utilized IoT collars that were placed around the necks of 10 dairy cows. This publicly ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

Burmese pythons are an invasive species in Florida that can be humanely killed on private property with landowner permission. Humane killing requires immediate loss of consciousness followed by brain ...

Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...

1 Institute of Geology and Geophysics, Ministry of Science and Education, Baku, Azerbaijan 2 School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan In recent years, seismological ...