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 Techniques
- 4 Anomaly Detection
- 5 Association
- 6 Classification
- 7 Clustering
- 8 Embedding
- 9 Feature Extraction
- 10 Feature Selection
- 11 Ranking
- 12 Regression
- 13 Row Importance
- 14 Time Series
-
Part III Algorithms
- 15 Apriori
- 16 CUR Matrix Decomposition
- 17 Decision Tree
- 18 Expectation Maximization
- 19 Explicit Semantic Analysis
- 20 Exponential Smoothing
- 21 Generalized Linear Model
- 22 k-Means
- 23 Minimum Description Length
- 24 Multivariate State Estimation Technique - Sequential Probability Ratio Test
- 25 Naive Bayes
- 26 Neural Network
- 27 Non-Negative Matrix Factorization
- 28 O-Cluster
- 29 R Extensibility
- 30 Random Forest
- 31 Singular Value Decomposition
- 32 Support Vector Machine
- 33 XGBoost
- Glossary