Close
← Back to Glossary

Machine Learning

Machine learning is a field of artificial intelligence that deals with making computers better at understanding and working with data.

What is machine learning?

Machine learning is a field of artificial intelligence that deals with making computers better at understanding and working with data. In essence, it's about teaching computers how to learn from experience.

What is machine learning?

How does machine learning work?

Machine learning algorithms work by being fed large amounts of data, which they can then use to spotting patterns and trends. The more data they have, the more accurate their predictions will be. Over time, they can learn to do this more and more automatically, without the need for human input.

What is the difference between AI and machine learning?

Artificial intelligence (AI) is a process of programming computers to make decisions for themselves. This can be done through a variety of methods, including rule-based systems, decision trees, and neural networks.

Machine learning, on the other hand, is a process of giving computers the ability to learn from data. This is typically done by feeding the machine a large dataset and then tweaking the algorithms until the desired outcome is achieved.

Related terms

AI

AI refers to the ability of a computer or machine to learn and perform tasks that would typically require human intelligence.

Deep Learning

Deep learning is a branch of machine learning that deals with algorithms inspired by the structure and function of the brain.

Synthetic Media

Synthetic media is a catch-all term to describe video, image, text, or voice that has been fully or partially generated using artificial intelligence.