Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

That’s not so simple. Machine learning helps solve that kind of problem by teaching the computer through examples how to recognize such fine distinctions in a world that doesn’t always operate ...

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

As words and phrases start to fuel machine learning algorithms, each and every member of an organization can reap the benefits. More often than not, these benefits will manifest in ways we never ...

Machine learning and AI. Getty. One of the downsides to the recent revival and popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end ...

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.

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

In other words, for many organizations, the best option with machine learning may be to buy an off-the-shelf solution. The good news is that there are many on the market—and they are generally ...

And we have not even touched upon Level 2 -- machine learning systems that incorporate new data and update in real-time. However, to come full circle, if Huyen's experience is anything to go by ...