Fundamentals of machine learning for predictive data analytics (Record no. 51436)

MARC details
000 -LEADER
fixed length control field 02806cam a2200241 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field ISURa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141201s2015 maua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262029445
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English Language
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number KEL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kelleher, John D.
9 (RLIN) 72515
245 10 - TITLE STATEMENT
Title Fundamentals of machine learning for predictive data analytics
Remainder of title algorithms, worked examples, and case studies
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cambridge, The MIT Press
Name of publisher, distributor, etc Massachusetts
Date of publication, distribution, etc 2015
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 595 pages :
Other physical details some Colour
Dimensions 24 cm
500 ## - GENERAL NOTE
General note Machine learning for predictive data analytics --<br/>Data to insights to decisions --<br/>Data exploration --<br/>Information-based learning --<br/>Similarity-based learning --<br/>Probability-based learning --<br/>Error-based learning --<br/>Evaluation --<br/>Case study : customer churn --<br/>Case study : galaxy classification --<br/>The art of machine learning for predictive data analytics.
520 ## - SUMMARY, ETC.
Summary, etc "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
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
9 (RLIN) 69133
Topical term or geographic name as entry element Data mining.
9 (RLIN) 29634
Topical term or geographic name as entry element Prediction theory.
9 (RLIN) 72516
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mac Namee, Brian
9 (RLIN) 72517
Personal name D'Arcy, Aoife
9 (RLIN) 72518
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Lending Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type Public note
    Dewey Decimal Classification     Lending Collection Applied Sciences Library Applied Sciences Library Lending Section 03/05/2019 15910.48 6 2 006.31KEL 112980 05/02/2025 20/01/2025 86.47 17/06/2019 Lending Books $86.47
    Dewey Decimal Classification     Lending Collection Applied Sciences Library Applied Sciences Library Lending Section 03/05/2019 15910.48     006.31 KEL 112981 17/06/2019   86.47 17/06/2019 Lending Books $86.47