Data Analytics and Machine Learning Navigating the Big Data Landscape /
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strateg...
Gorde:
| Erakunde egilea: | |
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| Beste egile batzuk: | , , |
| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Edizioa: | 1st ed. 2024. |
| Saila: | Studies in Big Data,
145 |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-981-97-0448-4 |
| Etiketak: |
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Aurkibidea:
- Chapter 1. Introduction to Data Analytics, Big Data, and Machine Learning
- Chapter 2. Fundamentals of Data Analytics and Lifecycle
- Chapter 3. Building Predictive Models with Machine Learning
- Chapter 4. Stream data model and architecture
- Chapter 5. Leveraging Big Data for Data Analytics
- Chapter 6. Advanced Techniques in Data Analytics
- Chapter 7. Scalable Machine Learning with Big Data
- Chapter 8. Big Data Analytics Framework using Machine Learning on Massive Datasets
- Chapter 9. Deep-learning Techniques in Big-Data analytics
- Chapter 10. Data Privacy and Ethics in Data Analytics
- Chapter 11. Practical Implementation of Machine Learning Techniques & data analytics using R
- Chapter 12. Real-World Applications of Data Analytics, Big Data, and Machine Learning
- Chapter 13. Implementing Data-Driven Innovation in Organizations
- Chapter 14. Business Transformation using Big Data Analytics and Machine Learning
- Chapter 15. Future Trends and Emerging Opportunities in HealthAnalytics
- Chapter 16. Future Trends in Data Analytics and Machine Learning.