Data Analytics using Machine Learning Techniques on Cloud Platforms
eBook - ePub

Data Analytics using Machine Learning Techniques on Cloud Platforms

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Data Analytics using Machine Learning Techniques on Cloud Platforms

About this book

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.

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Yes, you can access Data Analytics using Machine Learning Techniques on Cloud Platforms by Seema Rawat,Neelu Jyothi Ahuja,Avita Katal,Praveen Kumar,Shabana Urooj in PDF and/or ePUB format, as well as other popular books in Computer Science & Cloud Computing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Author Biographies
  8. Introduction
  9. Chapter 1 Data Analytics and Compliance in Cloud-Machine Learning
  10. Chapter 2 Data Analytics: Tools and Technologies
  11. Chapter 3 Data Analytics: Statistical Approach
  12. Chapter 4 Supervised and Unsupervised Methods of Machine Learning Used in Data Analytics
  13. Chapter 5 Opportunities and Challenges for Data Analytics Integrated with Machine Learning
  14. Chapter 6 Cloud Computing: A Change in the IT Infrastructure Landscape
  15. Chapter 7 Redefining Data Analytics with ML and Cloud
  16. Chapter 8 Data Analytics and Cloud Together: A Powerful Combination for E-Commerce and Supply Chain Logistics
  17. Chapter 9 Data Analytics, Machine Learning and Cloud Together: A Powerful Combination for Healthcare and Education
  18. Chapter 10 Security and Privacy Issues for Data Analytics Using Machine Learning in Cloud Computing
  19. Chapter 11 Future Trends for ML-Based Data Analytics in the Cloud
  20. Index