Artificial Intelligence Vocabulary

1. A form of data that stores data as ones and zeros.
3. An app used to generate predictions and outcomes based on the entering and training of data entered into the app.
6. A model type that looks at the relationship between a dependent variable and one or more independent variables.
7. A situation in which a model does not perform well on training data or new, unseen data.
10. A model type in which a result is categorized, usually with one of two values, such as a yes or no value.
12. An imbalance in data that can cause data to be skewed toward a demographic group, which can harm an AI machine learning model.
14. An unusual activity in a group of otherwise normal activities.
15. AI (artificial intelligence) is intelligence that can be programmed to mimic human intelligence.

2. A set of rules used to generate calculations or perform problem-solving operations.
4. A situation in which a model learns training data very well but performs poorly on new, unseen data.
5. Learning A type of machine learning model that involves an AI agent performing actions that maximize a certain reward.
8. Network A type of algorithm designed to mimic the human brain.
9. An input value used to help train an algorithm.
11. The ability to adjust machine resources up or down depending upon workload demand for one or more apps on that machine.
13. Language Processing A form of AI that reads data from text and images and can include speech recognition and object detection.