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  2. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases).

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...

  4. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6] Julia is a language launched in 2012, which intends to combine ease of use and performance. It is mostly used for numerical analysis, computational science, and machine learning. [6] C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML ...

  5. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  6. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    seq2seq – Family of machine learning approaches; Perceiver – Variant of Transformer designed for multimodal data; Vision transformer – Machine learning model for vision processing; Large language model – Type of artificial neural network; BERT (language model) – Series of language models developed by Google AI

  7. AI was everywhere in 2024. Here are the biggest stories of ...

    www.aol.com/news/ai-everywhere-2024-biggest...

    Claude 3.5 Sonnet transforms complex coding tasks. When it launched in June 2024, Claude 3.5 Sonnet changed how coders work, quickly becoming a Silicon Valley favorite. The AI model solved 64% of ...

  8. 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.

  9. 2 Artificial Intelligence (AI) Stocks to Buy Right Now That ...

    www.aol.com/2-artificial-intelligence-ai-stocks...

    The chipmaker expects sales of its graphic processing units (GPUs) used in AI data centers to top $5 billion in 2024. Yet its AI chip sales are booming -- AMD's data center revenue soared by 122% ...

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