Machine Learning with SAS Viya

Description

About This Book Acknowledgments Preface Chapter 1: Introduction to Machine Learning Introduction Supervised Learning Predictions Model Building and Selection Introducing Model Studio Quiz Chapter 2: Preparing Your Data: Introduction Introduction Explore the Data Divide the Data Address Rare Events Data Preparation Best Practices Quiz Chapter 3: Preparing Your Data: Missing and Unstructured Data Introduction Dealing with Missing Data Add Unstructured Data Quiz Chapter 4: Preparing Your Data: Extract Features Introduction Extract Features Handling Extreme or Unusual Values Feature Selection Quiz Chapter 5: Discovery: Selecting an Algorithm Introduction Select an Algorithm Classification and Regression Quiz Chapter 6: Decision Trees: Introduction Introduction Decision Tree Algorithm Building a Decision Tree Pros and Cons of Decision Trees Quiz Chapter 7: Decision Trees: Improving the Model Introduction Improving a Decision Tree Model by Changing the Tree Structure Parameters Improving a Decision Tree Model by Changing the Recursive Partitioning Parameters Optimizing the Complexity of the Model Regularize and Tune Hyperparameters Quiz Chapter 8: Decision Trees: Ensembles and Forests Introduction Building Ensemble Models: Ensembles of Trees Building Forests Gradient Boosting with Decision Trees Pros and Cons of Tree Ensembles Quiz Chapter 9: Neural Networks: Introduction and Model Architecture Introduction The Neural Network Model Improving the Model Modifying Network Architecture Strengths, Weaknesses, and Parameters of Neural Networks Quiz Chapter 10: Neural Networks: Optimizing the Model and Learning Optimizing the Model Regularize and Tune Model Hyperparameters Quiz Chapter 11: Support Vector Machines Introduction Support Vector Machine Algorithm Improve the Model and Optimizing Complexity Model Interpretability Regularize and Tune Hyperparameters of the Model Quiz Chapter 12: Model Assessment and Deployment Introduction Model Assessment Model Deployment Monitoring and Updating the Model Quiz Chapter 13: Additional Model Manager Tools and Open-Source Code Introduction Appendix A A.1: CAS-Supported Data Types and Loading Data into CAS A.2: Rank of a Matrix A.3: Impurity Reduction Measures A.4: Decision Tree Split Search Appendix B: Solutions Practice Solutions Quiz Solutions References