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Data science and machine learning for non-programmers : (Record no. 141341)

MARC details
000 -LEADER
fixed length control field 01780nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260708170553.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260708s2024 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367751968
040 ## - CATALOGING SOURCE
Transcribing agency PK-LaUMT
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number TRU-D
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Truong, Dothang
245 10 - TITLE STATEMENT
Title Data science and machine learning for non-programmers :
Remainder of title using SAS Enterprise miner /
Statement of responsibility, etc Dothang Truong
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton :
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2024
300 ## - PHYSICAL DESCRIPTION
Extent xii, 577 p.
500 ## - GENERAL NOTE
General note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilise machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers and industry professionals from various backgrounds"-- Provided by publisher
546 ## - LANGUAGE NOTE
Language note Eng
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Home library Current library Date acquired Full call number Barcode Date last seen Price effective from Koha item type
      UMT Main Campus UMT Main Campus 2026-07-08 006.312 TRU-D 153296 2026-07-08 2026-07-08 Books