Data Analytics using Machine Learning Techniques on Cloud Platforms
商品資訊
ISBN13：9781032491462
出版社：PBKTYFRL
作者：Seema (Amity University Tashkent Rawat Uzbekistan); Neelu Jyothi (University of Petroleum and Energy Studies Ahuja India); Avita Katal (UPES); Praveen Kumar (Amity University Tashkent Uzbekistan); Shabana
出版日：2025/09/23
裝訂／頁數：精裝／200頁
規格：15.6cm*23.4cm (高/寬)
商品簡介
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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