Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Learn about types of machine learning and take inspiration from seven real world examples and eight examples directly applied to SEO.

This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.

Training robots using machine learning The foundational concept involves integrating machine learning algorithms into robotic systems to enable them to adapt to varying educational needs and contexts.

Mathematicians have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

In the case of flooding, human remains may be tangled among vegetation and debris. Therefore, a system could identify clumps ...