The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

Computers have made it possible to collect vast amounts of data from a wide variety of sources. It is not always clear, however, how to use the data, and how to extract useful information from them.

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. Sixty-five years ago, Arthur Samuel went on TV to show the world ...

How much of machine learning is computer science vs. statistics? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique insights.

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...