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MathWorks. Statistics and Machine Learning Toolbox User's Guide. R2025a

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Description:
Textbook in PDF format Getting Started. Organizing Data. Descriptive Statistics. Statistical Visualization. Probability Distributions. Gaussian Processes. Random Number Generation. Hypothesis Tests. Analysis of Variance. Bayesian Optimization. Parametric Regression Analysis. Generalized Linear Models. Nonlinear Regression. Time Series Forecasting. Survival Analysis. Multivariate Methods. Cluster Analysis. Parametric Classification. Nonparametric Supervised Learning. Decision Trees. Discriminant Analysis. Naive Bayes. Classification Learner. Regression Learner. Support Vector Machines. Fairness. Interpretability. Incremental Learning. Markov Models. Design of Experiments. Code Generation. Machine Learning in Simulink. Functions. Sample Data Sets. Probability Distributions
Category: Books
Size: 67.4 MB
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  1. MathWorks. Statistics and Machine Learning Toolbox User's Guide. R2025a.pdf 67.4 MB

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