MathWorks. Statistics and Machine Learning Toolbox...R2022a 2022
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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 Learner Regression Learner Support Vector Machines Interpretability Incremental Learning Markov Models Design of Experiments Statistical Process Control Tall Arrays Parallel Statistics Code Generation Functions Sample Data Sets Probability Distributions Bibliography
| MathWorks. Statistics and Machine Learning Toolbox User's Guide. R2022a 2022.pdf | 55.75 MiB |
