Coverart for item
The Resource Building better models with JMP Pro, Jim Grayson, Sam Gardner, Mia L. Stephens

Building better models with JMP Pro, Jim Grayson, Sam Gardner, Mia L. Stephens

Label
Building better models with JMP Pro
Title
Building better models with JMP Pro
Statement of responsibility
Jim Grayson, Sam Gardner, Mia L. Stephens
Creator
Contributor
Subject
Language
eng
Summary
This book provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP Pro for building and applying analytic models. It will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. --
Assigning source
Edited summary from book
Cataloging source
N$T
http://library.link/vocab/creatorName
Grayson, Jim
Dewey number
519.5
Index
index present
LC call number
QA276.3
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Gardner, Sam
  • Stephens, Mia L
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Statistics
  • MATHEMATICS
  • MATHEMATICS
  • COMPUTERS
  • Mathematical statistics
  • Statistics
Label
Building better models with JMP Pro, Jim Grayson, Sam Gardner, Mia L. Stephens
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- An overview of the business analytics process -- Working with data -- Multiple linear regression -- Logistic regression -- Decision trees -- Neural networks -- Using cross-validation -- Advanced methods -- Capstone and new case studies
Control code
915058810
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781629599588
Lccn
2016427726
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
http://library.link/vocab/ext/overdrive/overdriveId
  • cl0500000678
  • 3c92d959-15ce-4339-9d78-fb017ed01e05
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)915058810
Label
Building better models with JMP Pro, Jim Grayson, Sam Gardner, Mia L. Stephens
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- An overview of the business analytics process -- Working with data -- Multiple linear regression -- Logistic regression -- Decision trees -- Neural networks -- Using cross-validation -- Advanced methods -- Capstone and new case studies
Control code
915058810
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781629599588
Lccn
2016427726
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
http://library.link/vocab/ext/overdrive/overdriveId
  • cl0500000678
  • 3c92d959-15ce-4339-9d78-fb017ed01e05
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)915058810

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
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