Opening book details…
Can I read Practical Machine Learning: A New Look at Anomaly Detection on EtoBox?
Practical Machine Learning: A New Look at Anomaly Detection by Ted Dunning, Ellen Friedman is a nonfiction available to read on EtoBox.
What is Practical Machine Learning: A New Look at Anomaly Detection about?
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.
Who reads Practical Machine Learning: A New Look at Anomaly Detection?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ted Dunning, Ellen Friedman
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2014
- Language
- EN
- ISBN
- 9781491904084
- Category
- nonfiction
- Subjects
- Computer Science, Programming, Stem
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