Deep Learning Your Broadband Network at Home

Deep Learning Your Broadband Network at Home

EuroPython Conference via YouTube Direct link

Outline

2 of 27

2 of 27

Outline

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Classroom Contents

Deep Learning Your Broadband Network at Home

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  1. 1 Intro
  2. 2 Outline
  3. 3 Home Network
  4. 4 Anomaly Detection (Naive approach in 2015)
  5. 5 Problem definition
  6. 6 Types of anomalies in time series
  7. 7 Logging Data
  8. 8 Data preparation
  9. 9 Handling time series
  10. 10 Components of Time series data
  11. 11 Seasonal Trend Decomposition
  12. 12 Rolling Forecast
  13. 13 Anomaly Detection (Basic approach)
  14. 14 Anomaly Detection (Naive approach)
  15. 15 Stationary Series Criterion
  16. 16 Test Stationarity
  17. 17 Autoregression (AR)
  18. 18 Moving Average (MA)
  19. 19 Identification of ARIMA (easy case)
  20. 20 Identification of ARIMA (complicated)
  21. 21 Anomaly Detection (Parameter Estimation)
  22. 22 Anomaly Detection Multivariate Gaussian Distribution
  23. 23 Anomaly Detection (Multivariate Gaussian)
  24. 24 Long Short-Term Memory
  25. 25 Summary
  26. 26 Contacts
  27. 27 Patterns in time series

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