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Data analytics using machine learning techniques on cloud platforms / (Record no. 141023)

MARC details
000 -LEADER
fixed length control field 01905nam a22002777a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260608124251.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260608s2026 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032491462
040 ## - CATALOGING SOURCE
Transcribing agency PK-LaUMT
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number DAT-
245 00 - TITLE STATEMENT
Title Data analytics using machine learning techniques on cloud platforms /
Statement of responsibility, etc Seema Rawat . . . [et al.]
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton :
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2026
300 ## - PHYSICAL DESCRIPTION
Extent xix, 183 p.
500 ## - GENERAL NOTE
General note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, loud-based analytics tools and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics and e-commerce. It also addresses security challenges, privacy concerns and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics. This book: Covers supervised and unsupervised learning, including regression, clustering, classification and neural networks Discusses Hadoop, Spark, Tableau, Power BI and Splunk for analytics and visualization Examines how cloud computing enhances scalability, efficiency and automation in data analytics Showcases ML-driven solutions in e-commerce, supply chain logistics, healthcare and education This book is an essential resource for students, researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios
546 ## - LANGUAGE NOTE
Language note Eng
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cloud computing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rawat, Seema
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ahuja, Neelu Jyothi
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Katal, Avita
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kumar, Praveen
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Shabana Urooj
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 2026-06-08 006.31 DAT- 152958 2026-06-08 2026-06-08 Books