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Classroom Contents
Applied Data Science for Predictive Time Series Analytics - Nesime Tatbul
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- 1 Intro
- 2 An Example: Cloud Observability
- 3 Observability Case Study: slack
- 4 Time Series Analytics: Challenges
- 5 Talk Overview Time Series Anomaly Detection & Explanation • Evaluation & Benchmarking Tools
- 6 Anomaly Detection and Explanation
- 7 Time Series Anomalies: Two Key Observations
- 8 Precision and Recall for Time Series
- 9 Customization Examples
- 10 Selected Experimental Results
- 11 Use Case: Spark Application Monitoring
- 12 Example Input Anomalies (T1-T3)
- 13 Evaluating the AD Levels
- 14 Exathlon's Benchmarking Platform -End-to-end data science pipeline design & implementation for explainable AD . Modular and extensible platform for experimentation & analysis [6]
- 15 The First Experimental Study with Exathlon [7]
- 16 Visual Exploration of Anomalies with METRO-VIZ
- 17 Data Debugging with DAGGER (aka, "GDB for Data")
- 18 Summary Tools for Time Series Analytics
- 19 Time Series in Future Al Systems
