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 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 next step up is machine learning, which uses algorithms. “Rather than a person programming in the rules, the system itself has learned,” Mitchell said.

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

Want to learn how to become a machine learning engineer? Use our guide to discover the career path and requirements for machine learning engineers.

Machine learning isn’t just something locked up in an academic lab though. Lots of machine learning algorithms are open-source and widely available.

Based on simulations, researchers report that the next big earthquake along the San Andreas fault is unlikely to resemble ...