Data Analytics using Machine Learning Techniques on Cloud Platforms
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 23 September 2025
- ISBN 9781032491462
- Binding Hardback
- No. of pages204 pages
- Size 234x156 mm
- Language English
- Illustrations 22 Illustrations, black & white; 1 Halftones, black & white; 21 Line drawings, black & white 700
Categories
Short description:
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.
MoreLong description:
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.
MoreTable of Contents:
Preface
Author biography
Introduction
1. Data Analytics: An Overview 2. Data Analytics: Tools and Technologies 3. Data Analytics: Statistical Approach 4. Supervised and Unsupervised Methods of Machine Learning used in Data Analytics 5. Opportunities and Challenges for Data Analytics Integrated with Machine Learning 6. Cloud Computing: A Change in the IT Infrastructure Landscape 7. Redefining Data Analytics with Machine Learning and Cloud 8. Data Analytics and Cloud together: A powerful combination for E-commerce and Supply Chain logistics 9. Data Analytics, Machine Learning, and Cloud Together: A Powerful Combination for Healthcare & Education 10. Security and Privacy issues for data analytics using machine learning in cloud computing 11. Future Trends for ML-Based Data Analytics in the Cloud
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