Like with movies, I don’t have one favorite machine learning (ML) algorithm, but a few favorites, each for its own reason. Here are some of my top few algorithms and models: Most elegant: The ...

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.

The world of computing is full of buzzwords: AI, supercomputers, machine learning, the cloud, quantum computing and more. One word in particular is used throughout computing – algorithm.

Learn how Google uses machine learning models and algorithms in search. ... To clarify, when I write “has not yet been deployed” I mean “to the best of my knowledge.” ...

Lots of machine learning algorithms are open-source and widely available. And they’re already being used for many things that influence our lives, in large and small ways.

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 and traditional algorithms are “two substantially different ways of computing, and algorithms with predictions is a way to bridge the two,” said Piotr Indyk, a computer scientist at ...

Why Machine Learning Is Dumb—and How We'll Fix It Google believes a team of its computer scientists has come up with a new AutoML method that could automatically generate the best algorithm for ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

Search engines crawl and index websites. Search algorithms function. Search engines treat user intent as a ranking signal (and where they’re likely going with it). Another crucial area to ...