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Can I read Privacy-Preserving Machine Learning on EtoBox?

Privacy-Preserving Machine Learning by J. Morris Chang, Di Zhuang, and G. Dumindu Samaraweera,J. Morris Chang,Di Zhuang,and G. Dumindu Samaraweera is a computer science book available to read on EtoBox.

What is Privacy-Preserving Machine Learning about?

<b><b>Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models.</b></b><br><br>In <i>Privacy Preserving Machine Learning</i>, you will learn:<br> <br> <ul> <li>Privacy considerations in machine learning</li> <li>Differential privacy techniques for machine learning</li> <li>Privacy-preserving synthetic data generation</li> <li>Privacy-enhancing technologies for data mining and database applications</li> <li>Compressive privacy for m

Who reads Privacy-Preserving Machine Learning?

It is typically read by working professionals who need an authoritative practice reference.

Common subject areas: medicine, law, business, engineering.

Author
J. Morris Chang, Di Zhuang, and G. Dumindu Samaraweera,J. Morris Chang,Di Zhuang,and G. Dumindu Samaraweera
Publisher
Manning Publications Co. LLC
Published
2023
Language
EN
ISBN
9781617298042
Category
computer science
Subjects
Computer Science, Science, Management
Updated
2026-03-24

Other editions & translations

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