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 ...

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.

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

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

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 ...

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

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...

Learn how machine learning and artificial intelligence is being used in our everyday lives perhaps in areas where we wouldn't have thought .