Katal / Ahuja / Kumar

Data Analytics using Machine Learning Techniques on Cloud Platforms

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ca. 151,50 €

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Buch. Hardcover

2025

200 S. 22 s/w-Abbildungen, 1 s/w-Foto, 21 s/w-Zeichnungen.

In englischer Sprache

Taylor & Francis Ltd. ISBN 978-1-03-249146-2

Format (B x L): 15.6 x 23.4 cm

Produktbeschreibung

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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