This article is published by AllBusiness.com, a partner of TIME. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve ...

Machine learning (ML) has become a hot topic in the last few years, ... MIT's definition reads, "Machine-learning algorithms use statistics to find patterns in massive amounts of data, ...

But ML supports the goals of AI, and Deep Learning is one way to do certain aspects of ML. Or to put it another way, doing machine learning is necessary, but not sufficient, to achieve the goals ...

Machine Learning Algorithms Create AI. Machine learning, deep learning, and active learning, on the other hand, are approaches used to implement AI. If AI is when a computer can carry out a set of ...

Machine learning, a subset of AI, refers to a system that learns without being explicitly programmed or directly managed by humans. Today, both AI and ML play a prominent role in virtually every ...

“MLops, or machine learning operations, is the practice of collaboration and communication between data science, IT, and the business to help manage the end-to-end life cycle of machine learning ...

In the last two years, the number of machine-learning (ML) startups has skyrocketed, and companies (in truth or in hype) increasingly predicate their value proposition on artificial intelligence (AI).

What does machine learning epoch actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

If AI is to be a useful term to help delineate different technologies and approaches from each other, then it has to be meaningful. A term that means everything to everyone means nothing to anyone ...