Machine Learning Anomaly Detection: The Ultimate Design Guide

Considering building a machine learning anomaly detection system for your high velocity business? Learn how with Anodot ultimate three-part guide.



Sponsored Post.
Anodot Logo
Catch your next glitch with machine learning before it becomes a crisis.
Get The White Paper
Real time anomaly detection optimizes cost savings and business processes, while speeding up and improving your decisions.
Considering building a machine learning anomaly detection system for your high velocity business? Find out what's involved in our ultimate three-part guide to building a machine learning-based anomaly detection system. The series covers:

  • Why data-heavy companies need anomaly detection
  • Types of machine learning
  • Design principles including timeliness, scale, rate of change, conciseness and definition of incidents
  • Learning normal behavior of time series data
  • Correlating abnormal behavior

Read these guides for a clear picture of the complexities of building an effective and scalable anomaly detection system based on machine learning.
Get The White Paper
Copyright © Anodot, 111 W Evelyn Ave. Ste #308 Sunnyvale, CA 94086


Get the FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary' along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

By subscribing you accept KDnuggets Privacy Policy


Get the FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary' along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

By subscribing you accept KDnuggets Privacy Policy

Get the FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary' along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

By subscribing you accept KDnuggets Privacy Policy

No, thanks!