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Statistics and Machine Learning Toolbox provides functions and apps for descriptive statistics, visualization, clustering, probability distribution fitting, hypothesis testing, and predictive modeling. It supports supervised, semi-supervised, and unsupervised machine learning algorithms, including SVMs, boosted decision trees, and k-means, with capabilities for big data analysis and C/C++ code generation.
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