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商品詳細
Data Analytics using Machine Learning Techniques on Cloud Platforms.
・ISBN 978-1-032-49146-2 hard GB£ 145.99
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| 著者・編者 | Rawat, Seema / Ahuja, Neelu Jyothi / Katal, Avita / Kumar, Praveen / Urooj, Shabana, |
|---|---|
| 出版社 | (Chapman & Hall/CRC, UK) |
| 出版年月 | 2025 |
| ページ数 | 184 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-5813＞ |
解説
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.