Information about Test

  1. Machine learning

    aimlexchange.com/search/wiki/page/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. Active learning (machine learning)

    aimlexchange.com/search/wiki/page/Active_learning_%28machine_learning%29

    Active learning is a special case of machine learning in which a learning algorithm is able to interactively query the user (or some other information

  3. Boosting (machine learning)

    aimlexchange.com/search/wiki/page/Boosting_%28machine_learning%29

    a machine learning ensemble meta-algorithm for primarily reducing bias, and also variance in supervised learning, and a family of machine learning algorithms

  4. List of datasets for machine-learning research

    aimlexchange.com/search/wiki/page/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

  5. Deep learning

    aimlexchange.com/search/wiki/page/Deep_learning

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

  6. Support-vector machine

    aimlexchange.com/search/wiki/page/Support-vector_machine

    In machine learning, support-vector machines (SVMs, also support-vector networks) are supervised learning models with associated learning algorithms that

  7. Automated machine learning

    aimlexchange.com/search/wiki/page/Automated_machine_learning

    Automated machine learning (AutoML) is the process of automating end-to-end the process of applying machine learning to real-world problems. In a typical

  8. Learning

    aimlexchange.com/search/wiki/page/Learning

    by humans, animals, and some machines; there is also evidence for some kind of learning in certain plants. Some learning is immediate, induced by a single

  9. Quantum machine learning

    aimlexchange.com/search/wiki/page/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

  10. Feature (machine learning)

    aimlexchange.com/search/wiki/page/Feature_%28machine_learning%29

    In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon being observed. Choosing

Contents