Table of Contents
- Title and Copyright Information
- Preface
- Changes in This Release for Oracle Machine Learning for SQL Concepts
-
Part I Introductions
- 1 What Is Machine Learning?
- 2 Introduction to Oracle Machine Learning for SQL
- 3 Oracle Machine Learning Basics
-
Part II Machine Learning Functions
- 4 Regression
- 5 Classification
- 6 Anomaly Detection
- 7 Ranking
- 8 Clustering
- 9 Association
- 10 Feature Selection
- 11 Feature Extraction
- 12 Row Importance
- 13 Time Series
-
Part III Algorithms
- 14 Apriori
- 15 CUR Matrix Decomposition
- 16 Decision Tree
- 17 Expectation Maximization
- 18 Explicit Semantic Analysis
- 19 Exponential Smoothing
- 20 Generalized Linear Model
- 21 k-Means
- 22 Minimum Description Length
- 23 Multivariate State Estimation Technique - Sequential Probability Ratio Test
- 24 Naive Bayes
- 25 Neural Network
- 26 Non-Negative Matrix Factorization
- 27 O-Cluster
- 28 R Extensibility
- 29 Random Forest
- 30 Singular Value Decomposition
- 31 Support Vector Machine
- 32 XGBoost
- Glossary
- Index