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 find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Which is your favorite Machine Learning algorithm? This question was originally answered on Quora by Carlos Guestrin.

Companies spend millions of dollars training machine-learning algorithms to recognize faces or rank social posts, because the algorithms often can solve a problem more quickly than human coders alone.

Over at the Massachusetts Institute of Technology, they point out that machine learning and AI are often used interchangeably because these days, most AI includes some amount of machine learning.

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.