Machine Learning for Anomaly Detection

Machine Learning for Anomaly Detection

  • Posted by Wilker Amorim
  • On December 8, 2019
  • AI, Communications, Machine Learning, Symphony Platform, Telecommunications, Time Series Forecast
Build and implement an AI solution to monitor, analyze and alert Communications companies of deviations from normal traffic behavior, detecting robocalling and fraud.
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 Exponential Smoothing Methods for Time Series Forecasting

Exponential Smoothing Methods for Time Series Forecasting

  • Posted by Daitan Innovation Team
  • On August 7, 2019
  • Exponential Smoothing, Machine Learning, Time Series Forecast
In our last two articles, we covered basic concepts of time series data and decomposition analysis. Following that, it’s now time to apply that knowledge to a practical algorithm. In this piece, we provide an overview of Exponential Smoothing Methods.
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 2
 Fundamentals of Time Series Data and Forecasting

Fundamentals of Time Series Data and Forecasting

  • Posted by Daitan Innovation Team
  • On July 25, 2019
  • AI, Data, Time Series Data, Time Series Forecast
Time series forecasting is the use of statistical methods to predict future behavior based on historical data. This is similar to other statistical learning approaches, such as supervised or unsupervised learning. However, time series forecasting has many nuances that make it different from regular machine learning. From data processing all the way to model validation, time series forecasting is a different beast.Many companies are exploring time series forecasting as a way of making better business decisions.
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