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Core Concept of Synthetic Data
Paperback
Publisher: Independently Published
Published: Sep 5 2025
Pages: 228
Weight: 0.68
Height: 0.48 Width: 6.00 Depth: 9.00
Language: English
3. Hands-On Approach: Learning is reinforced through practical coding exercises, end-of-chapter practicals, and a complete, live capstone project.
4. Real-World Case Studies: Explores the application of synthetic data across diverse industries, including healthcare, finance, automotive, and retail, bridging the gap between theory and practice.
5. Focus on Ethics and Privacy: A dedicated chapter on the ethical considerations and the implementation of privacy-preserving techniques like Differential Privacy.
6. Complete Capstone Project: A final chapter dedicated to an end-to-end project on generating synthetic medical images, providing students with a portfolio-worthy accomplishment.
7. Updated and Future-Ready Content: Includes the latest advancements and future trends, such as Diffusion Models and the role of synthetic data in federated learning and the metaverse. Core Concept of Synthetic Data is a comprehensive, one-stop guide designed to demystify the rapidly evolving field of synthetic data generation. This book serves as an essential resource for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Information Technology, and related engineering disciplines. It is also an invaluable asset for researchers, data scientists, and AI practitioners looking to leverage synthetic data to overcome real-world data limitations.
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