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Accurate Anomaly Detection with Machine Learning

Event Details

Accurate Anomaly Detection with Machine Learning

Time: October 13, 2016 from 9am to 10am
Location: Online
Website or Map:
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: Oct 13, 2016

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Event Description

Space is limited.

Reserve your Webinar seat now

Achieving accurate anomaly detection requires more than statistics. Simple assumptions like normal distribution do not work in the real world. Time series data – representing anything from customer acquisition, to application performance, to manufacturing KPIs – tend to have many different behaviors that need to be modeled accurately. These include seasonal patterns, non-stationary behaviors, and intricate correlations between signals, among others. 

In this DSC webinar you will learn:

  • Fundamental machine learning techniques for anomaly detection
  • Requirements of an anomaly detection system in various use cases
  • Issues and pitfalls to watch out for when implementing anomaly detection
  • Common use cases and examples

Speaker: Ira Cohen, Chief Data Scientist -- Anodot

Hosted by: 
Bill VorhiesEditorial Director -- Data Science Central


Again, Space is limited so please register early:

Reserve your Webinar seat now


After registering you will receive a confirmation email containing information about joining the Webinar.

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