Machine Learning Articles

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.

Jeff Catlin

Updated on March 25, 2025

Domain-specific AI isn’t here quite yet, but deep language learning models like BERT and GPT-3 suggest it’s just a matter of time before your niche sees its own transformative AI innovations.

Mrinal Tyagi

Updated on March 24, 2025

Image segmentation separates an image into groups of pixels based on variables like proximity to one another, color and brightness for faster processing. Here’s a deep dive into different image segmentation techniques and how each works.

Afroz Chakure

Updated on March 20, 2025

A classification tree is a type of decision tree used to predict categorical or qualitative outcomes from a set of data observations.