Description:
Explore the process of data mining and knowledge discovery for home broadband networks in this EuroPython 2017 conference talk. Learn how to automate internet speed tests, log metrics, and analyze time series data using Python. Discover techniques for finding trends, forecasting, and detecting anomalies in network performance using statistical and deep learning methods such as ARIMA and LSTM. Gain insights into handling time series data, seasonal trend decomposition, and rolling forecasts. Delve into anomaly detection approaches, from naive methods to more advanced techniques like Multivariate Gaussian Distribution. Suitable for all skill levels, this talk provides a comprehensive overview of monitoring and analyzing home network performance, encouraging Python enthusiasts to apply these concepts in their own environments.
Deep Learning Your Broadband Network at Home
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#Conference Talks
#EuroPython
#Data Science
#Data Mining
#Programming
#Programming Languages
#Python
#Data Analysis
#Time Series Analysis
#Computer Science
#Artificial Intelligence
#Neural Networks
#Recurrent Neural Networks (RNN)
#Long short-term memory (LSTM)
#Forecasting
#ARIMA
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