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Synthetic Data Generation
Paperback
€44.94
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- Book Synopsis
- This book systematically covers everything from foundational probability distributions and rule-based simulations to advanced architectures like GANs, VAEs, diffusion models, and LLMs. It maps out practical production pipelines using Train on Synthetic, Test on Real (TSTR) evaluation workflows alongside industry use cases, differential privacy, and global compliance frameworks. Every topic combines mathematical theory with hands-on Python exercises, enabling readers to confidently generate, evaluate, and deploy high-utility, privacy-safe datasets.
- About The Author
- Ashutosh Kumar has spent the last 18 years working at the intersection of AI and enterprise reality. As a senior AI and analytics leader at global organizations, he has designed, scaled, and governed production-grade ML and AI systems across industries as varied as cybersecurity, retail, healthcare, financial services, and telecom.
- Product Details
-
- ISBN
- 9789378546990
- Format
- Paperback
- Publisher
- BPB Publications, (24 June 2026)
- Number of Pages
- 356
- Language
- English
- Dimensions
- 235 x 191 mm
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