Getting started (or advanced!) with anomaly detection - Join us on April 22nd!
CoreyS
Dataiker Alumni, Dataiku DSS Core Designer, Dataiku DSS Core Concepts, Registered Posts: 1,150 ✭✭✭✭✭✭✭✭✭
We’re hosting our second Online Event on Defect Detection on Wednesday, April 22nd at 12:00 PM ET which will showcase an awesome project built by @AaronCrouch
to protect workers safety. In case you are interested in diving into the topic ahead of the event, we thought we’d take this opportunity to share a few resources as an appetizer!
- 5 Steps to Get Started with Anomaly Detection Watch this video to understand the basics and learn the 5 key steps to implementing anomaly detection at scale (in just one minute!).
//play.vidyard.com/qiZiKvsL7ftc2MGQr5ycse.html?
- Why Anomaly Detection Matters to (Almost) Everyone Anomaly detection is omnipresent across industries, technologies, and use cases worldwide. While useful across an array of industries and for a variety of purposes, this article focuses on one use case that stands out above the rest: anomaly detection for IT and DevOps teams.
- Guidebook on Anomaly Detection at Scale This guidebook is a longer read to explore:
1) A breakdown of the types of anomalies and anomaly detection use cases.
2) A step-by-step guide to running an anomaly detection project, both from a business and a technical perspective.
3) A walkthrough of an example fraud detection case, including code samples.
Any thoughts from your reads? Additional resources to share? Feel free to comment below!
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