Machine Learning Articles

Terence Shin

Updated on April 03, 2025

Model deployment is the process of integrating a machine learning model into a production environment where it can take in an input and return an output. Here’s why it’s important, how it works and factors and challenges to consider.

Quinten Dol

Updated on April 03, 2025

New CoreLogic software gives insurers and first responders tornado damage estimates in real-time.

Dorothea Reher

Updated on April 02, 2025

A transformer encoder is a deep learning architecture that can process all tokens in parallel. Here’s how to build and train one using PyTorch.

Ellen Glover

Updated on April 02, 2025

Image recognition gives machines the power to “see” and understand visual data. Here’s how image recognition works, how it’s used, how it’s limited and how it compares to computer vision and object detection.

Charles Calapini

Updated on April 02, 2025

Prolog is a logic programming language that is well-suited for developing logic-based artificial intelligence applications.

Larry Yang

Updated on April 02, 2025

DeepSeek opened a path for the AI industry to enhance efficiency, scalability and accessibility of AI models. Here’s what that means for AI infrastructure.

Artem Oppermann

Updated on April 01, 2025

Deep learning uses multi-layered structures of algorithms called neural networks to draw similar conclusions as humans would. Here’s how it works.

Philipp Adamidis

Updated on March 26, 2025

Adopting AI requires a collaborative approach. Here’s why your company needs to adopt a universal AI governance strategy.

Ellen Glover

Updated on March 26, 2025

Supervised learning teaches AI models to predict outcomes using labeled data, while unsupervised learning explores unlabeled data to discover hidden patterns and insights. Take a closer look at the differences between supervised and unsupervised learning.

Paul Barba

Updated on March 25, 2025

Data often reflects the biases that pervade the larger world. To make machine learning processes more equitable, we need to employ a variety of methods to eliminate bias.