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bokomslag Data Analytics using Machine Learning Techniques on Cloud Platforms
Data & IT

Data Analytics using Machine Learning Techniques on Cloud Platforms

Seema Rawat Neelu Jyothi Ahuja Avita Katal Praveen Kumar Shabana Urooj

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  • 184 sidor
  • 2025
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.
  • Författare: Seema Rawat, Neelu Jyothi Ahuja, Avita Katal, Praveen Kumar, Shabana Urooj
  • Format: Inbunden
  • ISBN: 9781032491462
  • Språk: Engelska
  • Antal sidor: 184
  • Utgivningsdatum: 2025-09-23
  • Förlag: Taylor & Francis Ltd