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2. 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 ]

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. 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 ...

5. List of computing and IT abbreviations - Wikipedia

   en.wikipedia.org/wiki/List_of_computing_and_IT...

   ML—Machine Learning; MMC—Microsoft Management Console; MMDS—Mortality Medical Data System; MMDS—Multichannel Multipoint Distribution Service; MMF—Multi-Mode (optical) Fiber; MMIO—Memory-Mapped I/O; MMI—Man Machine Interface. MMORPG—Massively Multiplayer Online Role-Playing Game; MMS—Multimedia Message Service; MMU—Memory ...

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. Activation function - Wikipedia

   en.wikipedia.org/wiki/Activation_function

   Logistic activation function. The activation function of a node in an artificial neural network is a function that calculates the output of the node based on its individual inputs and their weights.

8. Timeline of machine learning - Wikipedia

   en.wikipedia.org/wiki/Timeline_of_machine_learning

   Bayesian methods are introduced for probabilistic inference in machine learning. [1] 1970s 'AI winter' caused by pessimism about machine learning effectiveness. 1980s: Rediscovery of backpropagation causes a resurgence in machine learning research. 1990s: Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach.

9. AOL Mail

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