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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.
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
LIBSVM and LIBLINEAR are two popular open source machine learning libraries, both developed at the National Taiwan University and both written in C++ though with a C API. LIBSVM implements the sequential minimal optimization (SMO) algorithm for kernelized support vector machines (SVMs), supporting classification and regression. [1]
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.
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Inflation data further complicates the picture. Despite the Federal Reserve's efforts, progress on reducing inflation has been minimal. Bond yields remain elevated, with 2-year Treasury yields at ...
A typical data mining based prediction uses e.g. support vector machines, decision trees, artificial neural networks for inducing a predictive learning model. Molecule mining approaches, a special case of structured data mining approaches, apply a similarity matrix based prediction or an automatic fragmentation scheme into molecular substructures.
From January 2008 to December 2012, if you bought shares in companies when K. Ram Shriram joined the board, and sold them when he left, you would have a 2.1 percent return on your investment, compared to a -2.8 percent return from the S&P 500.