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  2. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  3. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    OpenNN: Open neural networks library. Orange: A component-based data mining and machine learning software suite written in the Python language. PSPP: Data mining and statistics software under the GNU Project similar to SPSS; R: A programming language and software environment for statistical computing, data mining, and graphics.

  4. List of free and open-source software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    OpenNN – Open-source neural network software library written in C++; Orange (software) – Data visualization and data mining for novice and experts, through visual programming or Python scripting. Extensions for bioinformatics and text mining

  5. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning.In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations.

  6. NeuroSolutions - Wikipedia

    en.wikipedia.org/wiki/NeuroSolutions

    The Neural Expert centers the design specifications around the type of problem the user would like the neural network to solve (classification, prediction, function approximation or clustering). Given this problem type and the size of the user's data set, the Neural Expert automatically selects the neural network size and architecture that will ...

  7. Multilayer perceptron - Wikipedia

    en.wikipedia.org/wiki/Multilayer_perceptron

    In deep learning, a multilayer perceptron (MLP) is a name for a modern feedforward neural network consisting of fully connected neurons with nonlinear activation functions, organized in layers, notable for being able to distinguish data that is not linearly separable.

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