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Ted Dunning Elle Practical Machine Learning – A New Look at Anomaly (Paperback)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Practical Machine Learning – A New Look at Anomaly Detection
Publication Name
Practical Machine Learning: a New Look at Anomaly Detection
Title
Practical Machine Learning – A New Look at Anomaly Detection
Author
Ted Dunning, Ellen Friedman
Format
Trade Paperback
ISBN-10
1491911603
EAN
9781491911600
ISBN
9781491911600
Publisher
O'reilly Media, Incorporated
Genre
Computing & Internet
Release Date
30/09/2014
Release Year
2014
Language
English
Country/Region of Manufacture
US
Item Height
0.4in
Item Length
8.9in
Item Width
6in
Item Weight
5 Oz
Publication Year
2014
Type
Textbook
Number of Pages
66 Pages

About this product

Product Information

Finding Data Anomalies You Didn't Know to Look For 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. Use probabilistic models to predict what's normal and contrast that to what you observe Set an adaptive threshold to determine which data falls outside of the normal range, using the t-digest algorithm Establish normal fluctuations in complex systems and signals (such as an EKG) with a more adaptive probablistic model Use historical data to discover anomalies in sporadic event streams, such as web traffic Learn how to use deviations in expected behavior to trigger fraud alerts

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1491911603
ISBN-13
9781491911600
eBay Product ID (ePID)
202620087

Product Key Features

Author
Ted Dunning, Ellen Friedman
Publication Name
Practical Machine Learning: a New Look at Anomaly Detection
Format
Trade Paperback
Language
English
Publication Year
2014
Type
Textbook
Number of Pages
66 Pages

Dimensions

Item Length
8.9in
Item Height
0.4in
Item Width
6in
Item Weight
5 Oz

Additional Product Features

Lc Classification Number
Qa76.9.A25
Copyright Date
2014
Target Audience
Scholarly & Professional
Topic
Programming / Algorithms, Data Processing, Databases / General
Lccn
2014-451878
Dewey Decimal
005.8
Dewey Edition
23
Illustrated
Yes
Genre
Computers

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