000			01905nam a22002777a 4500
005			20260608124251.0
008			260608s2026 |||||||| |||| 00| 0 eng d
020			_a9781032491462
040			_cPK-LaUMT
082			_a006.31 _bDAT-
245	0	0	_aData analytics using machine learning techniques on cloud platforms / _cSeema Rawat . . . [et al.]
260			_aBoca Raton : _bCRC Press, _c2026
300			_axix, 183 p.
500			_aIncludes bibliographical references and index.
520			_aData 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			_aEng
650			_aMachine learning
650			_aBig data
650			_aCloud computing
700	1		_aRawat, Seema _912428
700	1		_aAhuja, Neelu Jyothi _912429
700	1		_aKatal, Avita _912430
700	1		_aKumar, Praveen _912431
700	0		_aShabana Urooj _912432
942			_cBK
999			_c141023 _d141023