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Data Analytics for Emerging Technologies
Paperback
Publisher: Independently Published
Published: Aug 8 2025
Pages: 232
Weight: 0.70
Height: 0.49 Width: 6.00 Depth: 9.00
Language: English
3. Simplest Practical Examples: Complex concepts are explained using simple, relatable, real-life examples, like using IoT for smart city traffic management or blockchain for securing a food supply chain.
4. Focus on Convergence: A dedicated chapter explores the powerful synergies achieved by combining AI, IoT, and Blockchain, showcasing integrated systems like secure, AI-optimized supply chains.
5. Hands-On Capstone Project: The final chapter guides the reader through a live, working capstone project-A Smart Healthcare Monitoring System-integrating IoT data collection, AI-based anomaly prediction, and Blockchain for data integrity, complete with step-by-step code and explanation.
6. Up-to-Date Content: Covers the latest tools, techniques, and platforms used in the industry, including Python libraries (Pandas, Scikit-learn, TensorFlow), Big Data technologies (Apache Spark), and cloud services (AWS, Azure, GCP).
7. Ethical Framework: Provides a robust discussion on the critical aspects of data governance, bias in AI, explainability (XAI), and data privacy regulations like GDPR.
8. Structured for Learning: Each chapter follows a logical flow with clearly defined learning objectives, numbered topics, and summaries to reinforce understanding. We begin by laying a strong foundation, introducing the core concepts of data analytics and the emerging technologies of AI, IoT, and Blockchain. We then dive deep into how data is acquired, processed, and analyzed within the context of each of these technologies. The central theme of convergence is explored in a dedicated chapter, showcasing how these technologies can be orchestrated to create robust, intelligent, and secure systems.
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