Machine Learning Articles

Shesh Narayan Gupta

Updated on February 26, 2025

Root mean square propagation (RMSProp) is an adaptive learning rate optimization algorithm designed to improve training and convergence speed in deep learning models.

Giorgos Myrianthous

Updated on February 26, 2025

Light gradient-boosting machine (LightGBM) is an open-source machine learning framework that specializes in handling large data sets and high-dimensional data. Learn more. 

Giorgos Myrianthous

Updated on February 26, 2025

Understanding hyperparameter tuning is crucial to getting the results you want from your machine learning model.

Yukai Tu

Updated on February 21, 2025

AI agents are poised to be the next big thing in tech. First, though, we need to make sure the ecosystem is ready for them.

Ellen Glover

Updated on February 19, 2025

Distillation condenses large AI models into smaller, more efficient ones — cutting down costs and complexity while preserving all the advanced capabilities.

Mamdouh Refaat

Updated on February 12, 2025

Overfitting is when a machine learning model performs well with its training data but performs poorly with new data. Here’s an in-depth review of what can lead to overfitting, how it differs from underfitting and methods for detecting and avoiding it.

Juan D. Ramirez

Updated on February 04, 2025

The superfast, superefficient Chinese model marks a paradigm shift in AI development.

Lisa Bertagnoli

Updated on January 30, 2025

Cognitive computing technologies have rocketed since 2011, when a computer won a game show.

Stephen Gossett

Updated on January 30, 2025

Driven by AI, computer vision trains computers to analyze and understand images on an advanced level for various industries, from automotive to professional sports.

Shanti Greene

Updated on January 28, 2025

You can use partial least squares regression to analyze relationships among multiple variables in a data set. Here’s what to know.