Machine Learning with SAS Viya

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