Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work.
From banking security to natural sciences, medicine, and marketing, anoma...
Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work.
From banking security to natural sciences, medicine, and marketing, anomaly detection has many useful applications in this age of big data. And the search for anomalies will intensify once the Internet of Things spawns even more new types of data. The concepts described in this report will help you tackle anomaly detection in your own project.
Welcome to Tanto Cyber - Cybersecurity & IT Solutions! 🚀
To access all the features and facilities we provide, please log in first using your account.
By using TantoCyber.com, you agree to comply with the applicable rules for the safety and convenience of everyone.
Thank you for being part of our community! 🔒✨
Tanto Cyber: A platform sharing free eBooks & tech insights, focusing on cybersecurity and knowledge.
