WEBINAR: Accurate Anomaly Detection with Machine Learning - 13 October 2016

Overview

Title: Accurate Anomaly Detection with Machine Learning

Date: Thursday, October 13, 2016

Time: 09:00 AM Pacific Daylight Time

Duration: 1 hour

Summary

Accurate Anomaly Detection with Machine Learning

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 Vorhies, Editorial Director -- Data Science Central

Register here