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  2. Cheat sheet: A comprehensive guide to AI terminology

    www.aol.com/cheat-sheet-comprehensive-guide-ai...

    Artificial intelligence as a discipline consists of hundreds of individual technologies, concepts, and applications. Despite that, there is a lack of consistency in how many AI concepts are ...

  3. Glossary of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_artificial...

    Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...

  4. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]

  5. Glossary of computer science - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_computer_science

    Also simply application or app. Computer software designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user. Common examples of applications include word processors, spreadsheets, accounting applications, web browsers, media players, aeronautical flight simulators, console games, and photo editors. This contrasts with system software, which is ...

  6. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  7. Human-in-the-loop - Wikipedia

    en.wikipedia.org/wiki/Human-in-the-loop

    In machine learning, HITL is used in the sense of humans aiding the computer in making the correct decisions in building a model. [4] HITL improves machine learning over random sampling by selecting the most critical data needed to refine the model.

  8. Multi-label classification - Wikipedia

    en.wikipedia.org/wiki/Multi-label_classification

    In machine learning, multi-label classification or multi-output classification is a variant of the classification problem where multiple nonexclusive labels may be assigned to each instance. Multi-label classification is a generalization of multiclass classification , which is the single-label problem of categorizing instances into precisely ...

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