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  2. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  3. James D. McCaffrey - Wikipedia

    en.wikipedia.org/wiki/James_D._McCaffrey

    McCaffrey, J.D., "Introduction to CNTK Succinctly for Syncfusion", [3] An eBook focused on Microsoft CNTK (Cognitive Toolkit, formerly Computational Network Toolkit), an open source code framework that enables you to create deep learning systems, such as feed-forward neural network time series prediction systems and convolutional neural network ...

  4. Generalized additive model for location, scale and shape

    en.wikipedia.org/wiki/Generalized_additive_model...

    GAMLSS is a form of supervised machine learning. GAMLSS enables flexible regression and smoothing models to be fitted to the data. GAMLSS assumes the response variable follows an arbitrary parametric distribution, which might be heavy or light-tailed, and positively or negatively skewed.

  5. Torch (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Torch_(machine_learning)

    Torch is an open-source machine learning library, a scientific computing framework, and a scripting language based on Lua. [3] It provides LuaJIT interfaces to deep learning algorithms implemented in C. It was created by the Idiap Research Institute at EPFL. Torch development moved in 2017 to PyTorch, a port of the library to Python. [4] [5] [6]

  6. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [36] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [37] [38] [39] [40]

  7. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]

  8. Open Library - Wikipedia

    en.wikipedia.org/wiki/Open_Library

    Open Library is an online project intended to create "one web page for every book ever published". Created by Aaron Swartz, [3] [4] Brewster Kahle, [5] Alexis Rossi, [6] Anand Chitipothu, [6] and Rebecca Hargrave Malamud, [6] Open Library is a project of the Internet Archive, a nonprofit organization.

  9. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Torch: An open-source deep learning library for the Lua programming language and scientific computing framework with wide support for machine learning algorithms. UIMA : The UIMA (Unstructured Information Management Architecture) is a component framework for analyzing unstructured content such as text, audio and video – originally developed ...

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