Using Machine Learning to Detect Traffic Anomalies [Splunk Machine Learning Toolkit, AI/ML]

Update: 2019-12-24

Description

Finding anomalies in network data is no easy task, especially when you have terabytes of logs per day to analyze. But have no fear, we’re going to teach you how. In this session we will perform a technical deep dive into how a global content delivery network provider is using Splunk’s Machine Learning Toolkit to discover anomalies in network traffic. We’ll take you on a data science journey and show you how we tested multiple anomaly detection techniques, overcame challenges, fine-tuned detections, and ultimately arrived at meaningful alerts based on machine learning.

Speaker(s)
Jim Goodrich, Senior Sales Engineer, Splunk

Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1390.pdf?podcast=1577146259

Product: Splunk Machine Learning Toolkit, AI/ML

Track: Foundations/Platform

Level: Good for all skill levels

Comments

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Using Machine Learning to Detect Traffic Anomalies [Splunk Machine Learning Toolkit, AI/ML]

#box-pro-ellipsis-176664139444263{-webkit-line-clamp:2;}Using Machine Learning to Detect Traffic Anomalies [Splunk Machine Learning Toolkit, AI/ML]

Using Machine Learning to Detect Traffic Anomalies [Splunk Machine Learning Toolkit, AI/ML]

Splunk

Using Machine Learning to Detect Traffic Anomalies [Splunk Machine Learning Toolkit, AI/ML]