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  1. Machine learning

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    Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit

  2. Outline of machine learning

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    expression programming Group method of data handling (GMDH) Inductive logic programming Instance-based learning Lazy learning Learning Automata Learning Vector

  3. Torch (machine learning)

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    Torch is an open-source machine learning library, a scientific computing framework, and a script language based on the Lua programming language. It provides

  4. Quantum machine learning

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    Quantum machine learning is an emerging interdisciplinary research area at the intersection of quantum physics and machine learning. The most common use

  5. Weka (machine learning)

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    implemented in other programming languages, plus data preprocessing utilities in C, and a Makefile-based system for running machine learning experiments. This

  6. Deep learning

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    Deep learning (also known as deep structured learning or differential programming) is part of a broader family of machine learning methods based on artificial

  7. Machine learning in video games

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    generation (PCG). Machine learning is a subset of artificial intelligence that focuses on using algorithms and statistical models to make machines act without

  8. List of datasets for machine-learning research

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    for machine-learning research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major

  9. Programmed learning

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    Klaus D.J. 1965. An analysis of programming techniues. In Glaser R. (ed) 1965. Teaching machines and programmed learning II. Washington D.C. Department

  10. Machine learning in bioinformatics

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    Machine learning, a subfield of computer science involving the development of algorithms that learn how to make predictions based on data, has a number

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