This article is published by AllBusiness.com, a partner of TIME. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve ...

Machine learning is a branch of computer science that teaches computers to 'learn' patterns from data instead of being programmed step by step. Think of it like this: instead of telling a computer ...

Machine learning made news in 1962 when an IBM computer beat a human in checkers. This event embodied the very definition of machine learning, as the computer was able to learn without explicitly ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where ...

Transfer learning is a machine learning technique that allows a model trained on one task to be repurposed or fine-tuned for a related task, drastically reducing the amount of data and computational ...

Machine learning can be defined as the process of educating computers to learn on their own without explicit instructions. The dynamic engine driving artificial intelligence (AI) into previously ...

One complete pass in the training phase of an AI model. With each epoch, the model is further refined. Depending on the size of the model, there can be only one epoch or as many as a hundred or more.