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  2. Stochastic gradient descent - Wikipedia

    en.wikipedia.org/wiki/Stochastic_gradient_descent

    Stochastic gradient descent is a popular algorithm for training a wide range of models in machine learning, including (linear) support vector machines, logistic regression (see, e.g., Vowpal Wabbit) and graphical models. [21] When combined with the back propagation algorithm, it is the de facto standard algorithm for training artificial neural ...

  3. Robbins Report - Wikipedia

    en.wikipedia.org/wiki/Robbins_Report

    The Robbins Report (the report of the Committee on Higher Education, chaired by Lord Robbins) was commissioned by the British government and published in 1963. [1] The committee met from 1961 to 1963. After the report's publication, its conclusions were accepted by the government on 24 October 1963. The report recommended immediate expansion of ...

  4. Neuro-linguistic programming - Wikipedia

    en.wikipedia.org/wiki/Neuro-linguistic_programming

    t. e. Neuro-linguistic programming ( NLP) is a pseudoscientific approach to communication, personal development and psychotherapy, that first appeared in Richard Bandler and John Grinder 's 1975 book The Structure of Magic I. NLP asserts that there is a connection between neurological processes, language and acquired behavioral patterns, and ...

  5. Trevor Robbins - Wikipedia

    en.wikipedia.org/wiki/Trevor_Robbins

    Trevor William Robbins CBE FRS FMedSci (born 26 November 1949) is a professor of cognitive neuroscience and the former Head of the Department of Psychology at the University of Cambridge. Robbins interests are in the fields of cognitive neuroscience, behavioural neuroscience and psychopharmacology.

  6. Online machine learning - Wikipedia

    en.wikipedia.org/wiki/Online_machine_learning

    In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once.

  7. Neural network - Wikipedia

    en.wikipedia.org/wiki/Neural_network

    A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network. In neuroscience, a biological neural ...

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