Machine Learning, Design of Experiments and Statistical Process Control Using MATLAB
內容描述
The aim of this book is to work with Machine Learning, Design of Experiments and Statistical Process Control using MATLAB. The essential content is as follows: • “Supervised Learning (Machine Learning) Workflow and Algorithms” • “Classification Using Nearest Neighbors” • “Classification Trees and Regression Trees” • “Splitting Categorical Predictors” • “Ensemble Methods” • “Hidden Markov Models (HMM)” • “Design of Experiments” • “Full Factorial Designs” • “Fractional Factorial Designs” • “Response Surface Designs” • “D-Optimal Designs” • “Introduction to Statistical Process Control” • “Control Charts” • “Capability Studies”
