Machine Learning Articles

Jye Sawtell-Rickson

Updated on June 24, 2025

Computer vision is a field of artificial intelligence that trains computers to see, interpret and understand the world around them through machine learning techniques. Here’s how it works, why it matters, how it’s used and some challenges to keep in mind.

Jeff Rumage

Updated on June 23, 2025

NPUs are the hot new AI chip, boasting enhanced deep learning capabilities while consuming a fraction of the energy — and all without data ever leaving the device.

Ashar Rizqi

Updated on June 20, 2025

The next phase of AI tools won’t just emphasize automation, they’ll embed into workflows and focus on changing behavior. Learn more. 

Eric Kleppen

Updated on June 18, 2025

Variance is a measurement of how far values in a data set differ from the mean. Here’s how to calculate variance by hand or in Python.

Max Reynolds

Updated on June 18, 2025

Contrastive learning is a machine learning technique that trains models to distinguish between similar and dissimilar data pairs. It can be used for self-supervised learning and other use cases.

Sean Benhur

Updated on June 17, 2025

Meta learning helps models learn new, unseen tasks on their own.

Anthony Corbo

Updated on June 17, 2025

Supervised learning is a type of machine learning approach that uses labeled data sets to train algorithms to classify data or predict outcomes.

Shamael Zaheer Khan

Updated on June 12, 2025

Data augmentation is a method of applying controlled transformations of a data set to artificially expand it and improve its quality. Here’s how it works.  

Dan Schwarz

Updated on June 12, 2025

A thorough analysis of available deep research methods reveals that, for now, humans remain an essential part of any effective program.

Anthony Corbo

Updated on June 11, 2025

Reinforcement learning relies on an agent learning to determine accurate solutions from its own actions and the results produced in a contained environment.