Book Content
chapters • 15h total length
1. Machine Learning for IT
2. Enabling and Operationalization
3. Anomaly Detection
4. Forecasting
5. Interpreting Results
6. Alerting on ML Analysis
7. AIOps and Root Cause Analysis
8. Anomaly Detection in Other Elastic Stack Apps
9. Introducing Data Frame Analysis
10. Outlier Detection
11. Classification Analysis
12. Regression
13. Inference
14. Appendix: Anomaly Detection Tips
