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.

When we talk about machine learning, we’re mostly referring to extremely clever algorithms. In 1950 mathematician Alan Turing argued that it’s a waste of time to ask whether machines can think.

Because of its machine learning algorithms, it would eventually pick up the patterns. This works much better for discrete data rather than more vague data that might be open to interpretation.

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

Machine learning algorithms are at the core of smartphones and online services like ChatGPT and YouTube. Here's how the technology works.

You will get a first look at how machine learning works, followed by a short guide to implementing and training a machine learning algorithm.

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 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 ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...