Data science / (Record no. 11649)

MARC details
000 -LEADER
fixed length control field 02021nam a2200397Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260803094233.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251212s9999 xx 000 0 und d[2017][2017][2017]
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119327639
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number 004 P61d c2017
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pierson, Lillian,|eauthor
245 1# - TITLE STATEMENT
Title Data science /
Statement of responsibility, etc. by Lillian Pierson ; foreword by Jake Porway.
240 1# - UNIFORM TITLE
Uniform title Data science for dummies.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Hoboken, NJ :
Name of publisher, distributor, etc. John Wiley and Sons, Inc.,
Date of publication, distribution, etc. [2017].
250 ## - EDITION STATEMENT
Edition statement 2nd edition.
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 364 pages:
Other physical details illustrations, charts
300 ## - PHYSICAL DESCRIPTION
Dimensions 24 cm.
336 ## - CONTENT TYPE
Content type term still image sti|2rdacontent.
337 ## - MEDIA TYPE
Media type term unmediated c|2rdamedia.
338 ## - CARRIER TYPE
Carrier type term volume cr|2rdacarrier.
490 ## - SERIES STATEMENT
Series statement --For dummies.
546 ## - LANGUAGE NOTE
Language note in English
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Begins by explaining large data sets and data formats, including sample Python code for manipulating data. The book explains how to work with relational databases and unstructured data, including NoSQL. The book then moves into preparing data for analysis by cleaning it up or "munging" it. From there the book explains data visualization techniques and types of data sets. Part II of the book is all about supervised machine learning, including regression techniques and model validation techniques. Part III explains unsupervised machine learning, including clustering and recommendation engines. Part IV overviews big data processing, including MapReduce, Hadoop, Dremel, Storm, and Spark. The book finishes up with real world applications of data science and how data science fits into organizations.
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650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information technology.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information retrieval.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Databases.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Porway, Jake,|ewriter of introductory text.
944 ## -
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943 ## - EQUIVALENCE OR CROSS-REFERENCE--COLLECTIVE TITLE [OBSOLETE] [CAN/MARC only]
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Date of treaty signing 0
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Date of a work 1
Miscellaneous information 1
Medium 1
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953 ## -
-- HS1714
953 ## -
-- High School Library
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Institution code [OBSOLETE] jderpo
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-- jderpo
Edition 2022-03-03 09:05:33
998 ## - LOCAL CONTROL INFORMATION (RLIN)
MyRDA biblio 11756
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     FEU - Cavite Basic Education FEU - Cavite Basic Education BED Library 12/21/2025 CIR 004 P61d c2017 HS1714 12/21/2025 12/21/2025 Books