MathWorks. Statistics and Machine Learning Toolbox User's Guide. R2023b

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
Statistical Process Control
Tall Arrays
Parallel Statistics
Code Generation
Functions
Sample Data Sets
Probability Distributions
Bibliography