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Data Analytics using Machine Learning Techniques on Cloud Platforms

By: (Author) Avita Katal , (Author) Neelu Jyothi Ahuja , (Author) Praveen Kumar , (Author) Seema Rawat , (Author) Shabana Urooj

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Ksh 21,600.00

Format: Hardback or Cased Book

ISBN-10: 1032491469

ISBN-13: 9781032491462

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 23rd, 2025

Print length: 176 Pages

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Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries.

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, cloud-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.

 

  • Covers supervised and unsupervised learning, including regression, clustering, classification, and neural networks.
  • Discusses Hadoop, Spark, Tableau, Power BI, and Splunk for analytics and visualisation.
  • 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.


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