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portada Data Analytics using Machine Learning Techniques on Cloud Platforms
Type
Physical Book
Year
2025
Pages
184
Format
Hardcover
Dimensions
23.40 x 15.60 cm
ISBN13
9781032491462

Data Analytics using Machine Learning Techniques on Cloud Platforms

Avita Katal;Shabana Urooj;Seema Rawat;Praveen Kumar;Neelu Jyothi Ahuja (Author) · Chapman & Hall/CRC · Hardcover

Data Analytics using Machine Learning Techniques on Cloud Platforms - Avita Katal;Shabana Urooj;Seema Rawat;Praveen Kumar;Neelu Jyothi Ahuja

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Synopsis "Data Analytics using Machine Learning Techniques on Cloud Platforms"

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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