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.

At the heart of machine learning is the idea that machines can "learn" by detecting patterns in data. For instance, if you feed a machine learning algorithm thousands of images of cats and dogs ...

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Developers know a lot about the machine learning (ML) systems they create and manage, that’s a given. However, there is a need for non-developers to have a high level understanding of the types ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

Don't know your machine learning from your evolutionary algorithms? Our handy A.I. buzzword guide is here to help.

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

Machine learning algorithms are all around us. They are helping us choose the next Netflix show to binge-watch and which posts will appear at the top of our social media feeds.

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms ...