Coverart for item
The Resource Assessing and improving prediction and classification : theory and algorithms in C++, Timothy Masters

Assessing and improving prediction and classification : theory and algorithms in C++, Timothy Masters

Label
Assessing and improving prediction and classification : theory and algorithms in C++
Title
Assessing and improving prediction and classification
Title remainder
theory and algorithms in C++
Statement of responsibility
Timothy Masters
Creator
Author
Subject
Genre
Language
eng
Summary
Carry out practical, real-life assessments of the performance of prediction and classification models written in C++. This book discusses techniques for improving the performance of such models by intelligent resampling of training/testing data, combining multiple models into sophisticated committees, and making use of exogenous information to dynamically choose modeling methodologies. Rigorous statistical techniques for computing confidence in predictions and decisions receive extensive treatment. Finally, the last part of the book is devoted to the use of information theory in evaluating and selecting useful predictors. Special attention is paid to Schreiber's Information Transfer, a recent generalization of Grainger Causality. Well commented C++ code is given for every algorithm and technique. You will: Discover the hidden pitfalls that lurk in the model development process Work with some of the most powerful model enhancement algorithms that have emerged recently Effectively use and incorporate the C++ code in your own data analysis projects Combine classification models to enhance your projects
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Masters, Timothy
Dewey number
005.13/3
Index
index present
LC call number
QA76.73.C153
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • C++ (Computer program language)
  • Mathematical models
  • Data mining
  • Computer Science
  • Big Data
  • Artificial Intelligence (incl. Robotics)
  • Probability and Statistics in Computer Science
  • Statistics, general
  • Artificial intelligence
  • Maths for computer scientists
  • Probability & statistics
  • Databases
  • COMPUTERS
  • C++ (Computer program language)
  • Data mining
  • Mathematical models
Label
Assessing and improving prediction and classification : theory and algorithms in C++, Timothy Masters
Instantiates
Publication
Copyright
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
1. Assessment of Numeric Predictions -- 2. Assessment of Class Predictions -- 3. Resampling for Assessing Parameter Estimates -- 4. Resampling for Assessing Prediction and Classification -- 5. Miscellaneous Resampling Techniques -- 6. Combining Numeric Predictions -- 7. Combining Classification Models -- 8. Gaiting Methods -- 9. Information and Entropy -- References
Control code
1016156229
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781484233368
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4842-3336-8
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000933
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1016156229
Label
Assessing and improving prediction and classification : theory and algorithms in C++, Timothy Masters
Publication
Copyright
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
1. Assessment of Numeric Predictions -- 2. Assessment of Class Predictions -- 3. Resampling for Assessing Parameter Estimates -- 4. Resampling for Assessing Prediction and Classification -- 5. Miscellaneous Resampling Techniques -- 6. Combining Numeric Predictions -- 7. Combining Classification Models -- 8. Gaiting Methods -- 9. Information and Entropy -- References
Control code
1016156229
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781484233368
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4842-3336-8
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000933
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1016156229

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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