Privacy-Preserving Machine Learning (eBook, ePUB)

A use-case-driven approach to building and protecting ML pipelines from privacy and security threats

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- In an era of evolving privacy regulations, compliance is mandatory for every enterprise - Machine learning engineers face the dual challenge of analyzing vast amounts of data for insights while protecting sensitive information - This book addresses the complexities arising from large data volumes and the scarcity of in-depth privacy-preserving machine learning expertise, and covers a comprehensive range of topics from data privacy and machine learning privacy threats to real-world privacy-preserving cases - As you progress, you'll be guided through developing anti-money laundering solutions ...

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