Details for: MATLAB Statistics and Machine Learning...User's Guide. R2020a

matlab statistics machine learning user s guide r2020a

Type:: E-books
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Uploaded On:: May 27, 2020, 8:31 a.m.
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Info Hash:: 2F81B31294D9E4150DD09EF4BF313D5B0A5896A0

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. Survival Analysis. Multivariate Methods. Cluster Analysis. Parametric Classification. Nonparametric Supervised Learning. Decision Trees. Discriminant Analysis. Naive Bayes. Classification and Regression for High-Dimensional Data. Classification Learner. Regression Learner. Support Vector Machines. Markov Models. Design of Experiments. Statistical Process Control. Tall Arrays. Parallel Statistics. Code Generation. Sample Data Sets. Probability Distributions. Bibliography

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MATLAB Statistics and Machine Learning Toolbox User's Guide. R2020a.pdf 49.4 MB

Details for: MATLAB Statistics and Machine Learning...User's Guide. R2020a

matlab statistics machine learning user s guide r2020a

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