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The Resource Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies, John D. Kelleher, Brian Mac Namee, Aoife D'Arcy

Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies, John D. Kelleher, Brian Mac Namee, Aoife D'Arcy

Label
Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies
Title
Fundamentals of machine learning for predictive data analytics
Title remainder
algorithms, worked examples, and case studies
Statement of responsibility
John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
Creator
Contributor
Author
Subject
Language
eng
Summary
"Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals."--
Assigning source
Provided by publisher
Cataloging source
DLC
http://library.link/vocab/creatorDate
1974-
http://library.link/vocab/creatorName
Kelleher, John D.
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1978-
  • 1978-
http://library.link/vocab/relatedWorkOrContributorName
  • Mac Namee, Brian
  • D'Arcy, Aoife
http://library.link/vocab/subjectName
  • Machine learning
  • Data mining
  • Prediction theory
Label
Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies, John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 557-563) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data analytics
Control code
FIEb17754148
Dimensions
24 cm.
Extent
xxii, 595 pages
Isbn
9780262029445
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)897510689
Label
Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies, John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 557-563) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data analytics
Control code
FIEb17754148
Dimensions
24 cm.
Extent
xxii, 595 pages
Isbn
9780262029445
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)897510689

Library Locations

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