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Privacy-Preserving Machine Learning (Paperback)
Loot Price: R1,500
Discovery Miles 15 000
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Privacy-Preserving Machine Learning (Paperback)
Expected to ship within 12 - 17 working days
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Privacy-Preserving Machine Learning is a practical guide to keeping
ML data anonymous and secure. You'll learn the core principles
behind different privacy preservation technologies, and how to put
theory into practice for your own machine learning. Complex
privacy-enhancing technologies are demystified through real world
use cases forfacial recognition, cloud data storage, and more.
Alongside skills for technical implementation, you'll learn about
current and future machine learning privacy challenges and how to
adapt technologies to your specific needs. By the time you're done,
you'll be able to create machine learning systems that preserve
user privacy without sacrificing data quality and model
performance. Large-scale scandals such as the Facebook Cambridge
Analytic a data breach have made many users wary of sharing
sensitive and personal information. Demand has surged among machine
learning engineers for privacy-preserving techniques that can keep
users private details secure without adversely affecting the
performance of models.
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