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  1. Machine learning

    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

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

  3. Torch (machine learning)

    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

    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)

    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

    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

    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

    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

    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

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