enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. 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.

  3. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    v. t. e. 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]

  4. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    BERT (language model) Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [ 1 ][ 2 ] It learns to represent text as a sequence of vectors using self-supervised learning. It uses the encoder-only transformer architecture.

  5. Timeline of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_artificial...

    Development. 1990s. Major advances in all areas of AI, with significant demonstrations in machine learning, intelligent tutoring, case-based reasoning, multi-agent planning, scheduling, uncertain reasoning, data mining, natural language understanding and translation, vision, virtual reality, games, and other topics.

  6. Evolutionary computation - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_computation

    Evolutionary computation. Evolution of a population of random images. Each frame in the animation is a generation showing the best fitness individual with a genome made up of the greyscale level of each patch. Evolution follows 1. evaluate fitness, 2. rank individuals and 3. include genes from next highest fitness individual.

  7. History of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/History_of_artificial...

    Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by neural circuitry. [1] [a] While some of the computational implementations ANNs relate to earlier discoveries in mathematics, the first implementation of ANNs was by psychologist Frank Rosenblatt, who developed the perceptron. [1]

  8. Random forest - Wikipedia

    en.wikipedia.org/wiki/Random_forest

    Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that works by creating a multitude of decision trees during training. For classification tasks, the output of the random forest is the class selected by most trees. For regression tasks, the output is the average of the ...

  9. John McCarthy (computer scientist) - Wikipedia

    en.wikipedia.org/wiki/John_McCarthy_(computer...

    John McCarthy (September 4, 1927 – October 24, 2011) was an American computer scientist and cognitive scientist. He was one of the founders of the discipline of artificial intelligence. [ 1 ] He co-authored the document that coined the term " artificial intelligence " (AI), developed the programming language family Lisp, significantly ...