Machine Learning Articles

KSV Muralidhar

Updated on March 05, 2025

Adjusted R-squared is a modified version of R-squared that adjusts for predictors that do not contribute to predictive accuracy in a regression model. It can be a reliable measure of goodness of fit for multiple regression problems.

Edmond Yip

Updated on March 04, 2025

A variational autoencoder (VAE) is a generative AI model that is used to improve the quality of images generated by tools like Stable Diffusion. Here are some applications of VAEs, how to use a VAE in Stable Diffusion and the pros and cons of VAEs.

Jenny Lyons-Cunha

Updated on February 27, 2025

Federated learning is a technique for training an AI model across a network of devices without having to share data with a central server. Here’s a closer look at how it works, its types, applications, challenges and benefits.

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.