Today, machine learning algorithms enable computers to communicate with humans, autonomously drive cars, write and publish sport match reports, and find terrorist suspects.

Machine learning uses pattern recognition to analyze data and make predictions. This is one of the reasons why IBM's Deep Blue was the first computer to defeat a chess champion.

Machine learning algorithms learn from data to solve problems that are too complex to solve with ... Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...

Deep learning is a topic that is making big waves at the moment. It is basically a branch of machine learning (another hot topic) that uses algorithms to e.g. recognize objects and understand ...

A supervised learning algorithm analyzes the data and produces an inferred function (i.e., this traffic behavior matches this input data, therefore it is bad), which can be used for mapping new ...

By contrast, the machine-learning approach spans just a few months. That has important implications for the study of art history. One application of the new algorithms is to pick out paintings ...

Machine learning uses pattern recognition to analyze data and make predictions. This is one of the reasons why IBM's Deep Blue was the first computer to defeat a chess champion.