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|a Applied Predictive Analytics :
|b Principles and Techniques for the Professional Data Analyst /
|c Dean Abbott.
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|a Indianapolis, Indiana :
|b John Wiley & Sons,
|c 2014.
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|c ©2014
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|a Includes index.
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|a Overview of predictive analysis -- Setting up the problem -- Data understanding -- Data preparation -- Item sets and association rules -- Descriptive modeling -- Interpreting descriptive models -- Predictive modeling -- Assessing predictive models -- Model ensembles -- Text mining -- Model deployment -- Case studies.
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|a Learn the art and science of predictive analytics - techniques that get results. Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful ...
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|a Business
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|a Applied predictive analytics (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFrk83BwY9Q7DWFqWGC84q
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|i Print version:
|a Abbott, Dean.
|t Applied predictive analytics : principles and techniques for the professional data analyst.
|d Indianapolis, Indiana : John Wiley & Sons, ©2014
|h xxiv, 427 pages
|z 9781118727966
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