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Applied predictive analytics :principles and techniques for the professional data analyst /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Applied predictive analytics :/ Dean Abbott.
Reminder of title:
principles and techniques for the professional data analyst /
Author:
Abbott, Dean.
Published:
Indianapolis, IN :Wiley,c2014.
Description:
xxiv, 427 p. :ill. ;24 cm.
Notes:
Includes index.
Subject:
Business planning - Mathematical models. -
ISBN:
9781118727966 (pbk.) :
ISBN:
1118727967 (pbk.)
ISBN:
9781118727935 (ebk.)
ISBN:
1118727932 (ebk.)
ISBN:
9781118727690 (ebk.)
ISBN:
111872769X (ebk.)
Applied predictive analytics :principles and techniques for the professional data analyst /
Abbott, Dean.
Applied predictive analytics :
principles and techniques for the professional data analyst /Dean Abbott. - Indianapolis, IN :Wiley,c2014. - xxiv, 427 p. :ill. ;24 cm.
Includes index.
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.
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 ..
ISBN: 9781118727966 (pbk.) :NT1188Subjects--Topical Terms:
1000003187
Business planning
--Mathematical models.
LC Class. No.: HD30.25 / .A23 2014
Dewey Class. No.: 006.312
Applied predictive analytics :principles and techniques for the professional data analyst /
LDR
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principles and techniques for the professional data analyst /
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Includes index.
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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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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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1000003188
0 based onreview(s)
Location:
ALL
六樓西文書庫 (6th Floor-Western Books)
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Barcode Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
E16446
六樓西文書庫 (6th Floor-Western Books)
一般借閱
外文書
* 006.312 A131 2014
一般(Normal)
On shelf
0
5030000-1020014
1 records • Pages 1 •
1
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