Across
- 3. Occasionally used interchangeably with parameter, although the terms have some subtle differences. Hyperparameters are values that affect the way your model learns. They are usually set manually outside the model.
- 4. Commonly used in image or video tagging, this is an imaginary box drawn on visual information. The contents of the box are labeled to help a model recognize it as a distinct type of object.
- 6. Drawing from statistics, computer science and information science, this interdisciplinary field aims to use a variety of scientific methods, processes and systems to solve problems involving data.
- 8. A set of rules that a machine can follow to learn how to do a task.
- 9. This is effectively another way to say artificial intelligence. It’s used by marketing teams at some companies to avoid the science fiction aura that sometimes surrounds AI.
- 12. A field within artificial intelligence that is primarily concerned with creating and analyzing machine learning algorithms.
- 15. A chatbot is program that is designed to communicate with people through text or voice commands in a way that mimics human-to-human conversation.
- 16. A function of artificial intelligence that imitates the human brain by learning from the way data is structured, rather than from an algorithm that’s programmed to do one specific thing.
- 18. The process of labeling unstructured sentences with information so that a machine can read them. This could involve labeling all people, organizations and locations in a document, for example.
Down
- 1. This refers to the general concept of machines acting in a way that simulates or mimics human intelligence. AI can have a variety of features, such as human-like communication or decision making.
- 2. A method in which a machine must work from a problem to find a potential solution. By analyzing a range of hypotheses, the AI must determine those that are relevant to the problem.
- 5. An umbrella term referring to the process of adding structure to data so that a machine can read it. Entity extraction may be done by humans or by a machine learning model.
- 7. AI that could successfully do any intellectual task that can be done by any human being. This is sometimes referred to as strong AI, although they aren’t entirely equivalent terms.
- 10. A method where the model starts with the desired output and works in reverse to find data that might support it.
- 11. Assumptions made by a model that simplify the process of learning to do its assigned task. Most supervised machine learning models perform better with low bias, as these assumptions can negatively affect results.
- 13. A collection of related data points, usually with a uniform order and tags.
- 14. Datasets that are too large or complex to be used by traditional data processing applications.
- 16. The process of analyzing datasets in order to discover new patterns that might improve the model.
- 17. A large dataset of written or spoken material that can be used to train a machine to perform linguistic tasks.
- 19. A machine is described as autonomous if it can perform its task or tasks without needing human intervention.