Glossary: Machine Learning

Machine learning is a branch of artificial intelligence in which systems use training data to recognize patterns and learn to make decisions without explicit human programming. Machine learning algorithms can be supervised or unsupervised, depending on the level of human involvement in learning to predict outcomes. In reinforcement learning, machines learn through trial and error, weighing the results to improve behavior over time.

In reinforcement learning, machines learn through trial and error, weighting the results to improve behavior over time. Assumptions by the people building data sets or models can cause AI bias. Machine learning is used in object recognition and classification for robots and autonomous vehicles.

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