McClusky said TIGA is using geologic data, along with past performance data, in machine learning classification applications (such as k-nearest neighbor, logistics regression, and random forests ...

By Laura Hamilton Machine Learning (CS 229) is the most popular course at Stanford. Why? Because, increasingly, machine learning is eating the world. Machine learning is a powerful artificial ...

One common use of unsupervised learning is in clustering, where the algorithm groups similar items together. For instance, e-commerce websites use unsupervised learning to segment customers into ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

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.

Lots of machine learning algorithms are open-source and widely available. And they’re already being used for many things that influence our lives, in large and small ways.