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Online evaluation of machine learning models / Ted Dunning.
Author
Dunning, Ted, 1956-
[Browse]
Format
Video/Projected medium
Language
English
Published/Created
[Place of publication not identified] : O'Reilly Media, [2019]
©2019
Description
1 online resource.
Availability
Available Online
Online Content
O'Reilly Online Learning: Academic/Public Library Edition
Details
Subject(s)
Artificial intelligence
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Cloud computing
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Data structures (Computer science)
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Electronic data processing
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Machine learning
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Related name
O'Reilly Strata Data Conference (2019 : San Francisco, California)
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Library of Congress genre(s)
Video recordings
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Series
Safari Books Online (Series)
[More in this series]
Summary note
"Ted Dunning (MapR) offers a survey of useful ways to evaluate models in the real world, breaking the problem of evaluation apart into operational and function evaluation and demonstrating how to do each without unnecessary pain and suffering. You'll learn about decoy and canary models, nonlinear latency histogramming, model-delta diagrams, and more. These techniques may sound arcane, but each is simple at heart and doesn't require any advanced mathematics to understand. Along the way, he shares exciting visualization techniques that will help make differences strikingly apparent. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco."--Resource description page.
Notes
Title from title screen (viewed February 21, 2020).
Participant(s)/Performer(s)
Presenter, Ted Dunning.
OCLC
1141405426
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Online evaluation of machine learning models / Ted Dunning.
id
99130929462006421