Science Daily

Building explainability into the components of machine-learning models

Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. Explanation methods ...
SiliconANGLE

Databricks intros AutoML tools for building machine learning models

Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its Unified ...
Forbes

The Five Major Platforms For Machine Learning Model Development

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...
Rochester Institute of Technology

Feasibility of Using Synthetic Videos to Train a YOLOv8 Model for UAS Detection and Classification

This work received the "Best Paper Award" at the 2025 SPIE DCS Symposium's conference on Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III. In ...
InfoWorld

The engines of AI: Machine learning algorithms explained

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...
Forbes

16 Essential Steps For Creating And Maintaining An Effective Machine Learning Model

The insights available through effective machine learning models can help businesses develop customer personas, clarify marketing efforts, improve the user experience for their products and services, ...