Among such trends have been machine learning and, more recently, deep learning. But what is machine learning, and how is deep learning different from it?

Machine learning, deep learning, and artificial intelligence all have relatively specific meanings, but are often broadly used to refer to any sort of modern, big-data related processing approach.

What is Machine Learning Machine Learning (ML) is a field of Artificial Intelligence in which the aim is to make a machine (or computer, or software) learn and train itself without much programming.

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them.

Deep Blue combined brute-force calculations with machine-learning techniques to outmaneuver one of humanity’s sharpest minds.

Deep learning algorithms have the potential to support numerous applications that drive innovation across federal IT.

Machine learning and deep learning algorithms have infinite room for growth, and we're sure to see even more practical applications entering the consumer and enterprise markets in the coming decade.

For example, there's a lot of talk about artificial intelligence, machine learning, and deep learning these days, and their potential for investors.