Completed
Intro
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
Deep Learning Your Broadband Network at Home
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Outline
- 3 Home Network
- 4 Anomaly Detection (Naive approach in 2015)
- 5 Problem definition
- 6 Types of anomalies in time series
- 7 Logging Data
- 8 Data preparation
- 9 Handling time series
- 10 Components of Time series data
- 11 Seasonal Trend Decomposition
- 12 Rolling Forecast
- 13 Anomaly Detection (Basic approach)
- 14 Anomaly Detection (Naive approach)
- 15 Stationary Series Criterion
- 16 Test Stationarity
- 17 Autoregression (AR)
- 18 Moving Average (MA)
- 19 Identification of ARIMA (easy case)
- 20 Identification of ARIMA (complicated)
- 21 Anomaly Detection (Parameter Estimation)
- 22 Anomaly Detection Multivariate Gaussian Distribution
- 23 Anomaly Detection (Multivariate Gaussian)
- 24 Long Short-Term Memory
- 25 Summary
- 26 Contacts
- 27 Patterns in time series
