In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

This article breaks down the machine learning problem known as Learning to Rank and can teach you how to build your own web ranking algorithm.

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

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

In his new book The Master Algorithm, Pedro Domingos covers the growing prominence of machine learning in close but accessible detail.

This powerful “master algorithm” is at the heart of work postulated by Pedro Domingos, author of The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World.

A big challenge in neuroscience is understanding how the brain encodes information. Neural networks are turning out to be great code crackers.

Machine Learning algorithms are ubiquitous, but what is the relationship between our mind and a machine learning algorithm? How can we leverage science to create the change we want to see? The ...