Coverart for item
The Resource Predictive analytics for dummies, Anasse Bari, Mohamed Chaouchi, Tommy Jung

Predictive analytics for dummies, Anasse Bari, Mohamed Chaouchi, Tommy Jung

Label
Predictive analytics for dummies
Title
Predictive analytics for dummies
Statement of responsibility
Anasse Bari, Mohamed Chaouchi, Tommy Jung
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
Business today relies on effectively using data to predict trends and sales. Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board and more
Member of
Cataloging source
UMI
http://library.link/vocab/creatorName
Bari, Anasse
Dewey number
658.056312
Illustrations
illustrations
Index
no index present
LC call number
HD30.2
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Chaouchi, Mohamed
  • Jung, Tommy
Series statement
For dummies
http://library.link/vocab/subjectName
  • Management
  • Management
  • Data mining
  • Data mining
  • Management
  • Management
Label
Predictive analytics for dummies, Anasse Bari, Mohamed Chaouchi, Tommy Jung
Instantiates
Publication
Note
Date of publication from resource description page
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Identifying similarities in data
  • Predicting the future using data classification
  • pt. 3.
  • Developing a roadmap. Convincing your management to adopt predictive analytics
  • Preparing data
  • Building a predictive model
  • Visualization of analytical results
  • pt. 4.
  • Programming predictive analytics. Creating basic prediction examples
  • Creating basic examples of unsupervised predictions
  • Introduction.
  • Predictive modeling with R
  • Avoiding analysis traps ;
  • pt. 5.
  • Targeting big data
  • Getting ready for enterprise analytics
  • pt. 6
  • The part of tens.
  • Ten reasons to implement predictive analytics
  • Ten steps to build a predictive analytic model
  • pt. 1.
  • Getting started with predictive analytics. Entering the arena
  • Predictive analytics in the wild
  • Exploring your data types and associated techniques
  • Complexities of data
  • pt. 2.
  • Incorporating algorithms in your models. Applying models
Control code
962192244
Dimensions
unknown
Edition
2nd edition.
Extent
1 online resource (1 volume)
Form of item
online
Isbn
9781119267027
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000799
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)962192244
Label
Predictive analytics for dummies, Anasse Bari, Mohamed Chaouchi, Tommy Jung
Publication
Note
Date of publication from resource description page
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Identifying similarities in data
  • Predicting the future using data classification
  • pt. 3.
  • Developing a roadmap. Convincing your management to adopt predictive analytics
  • Preparing data
  • Building a predictive model
  • Visualization of analytical results
  • pt. 4.
  • Programming predictive analytics. Creating basic prediction examples
  • Creating basic examples of unsupervised predictions
  • Introduction.
  • Predictive modeling with R
  • Avoiding analysis traps ;
  • pt. 5.
  • Targeting big data
  • Getting ready for enterprise analytics
  • pt. 6
  • The part of tens.
  • Ten reasons to implement predictive analytics
  • Ten steps to build a predictive analytic model
  • pt. 1.
  • Getting started with predictive analytics. Entering the arena
  • Predictive analytics in the wild
  • Exploring your data types and associated techniques
  • Complexities of data
  • pt. 2.
  • Incorporating algorithms in your models. Applying models
Control code
962192244
Dimensions
unknown
Edition
2nd edition.
Extent
1 online resource (1 volume)
Form of item
online
Isbn
9781119267027
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000799
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)962192244

Library Locations

    • Curtis Laws Wilson LibraryBorrow it
      400 West 14th Street, Rolla, MO, 65409, US
      37.955220 -91.772210
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