“An algorithm is a set of steps for solving a problem or accomplishing a goal,” she said. The next step up is machine learning, which uses algorithms.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

The use of artificial intelligence applications in business is growing, but AI and machine-learning aren't yet an efficient use for every business task, according to an infographic. Published by ...

With machine learning, organizations are making inroads toward protecting biodiversity, supporting our veterans, finding homes for the homeless, understanding climate change, and more.

They then train a machine-learning algorithm to learn each task. The first task boils down to identifying a set of timestamps in a song at which to place steps.

When the machine-learning algorithm combines the various kinds of metadata in its decisions, it can spot some 90 percent of cables that are classified, with a false positive rate of just 11 percent.

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...