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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 …
"An excellent reference for how to secure your Python systems." - Richard Vaughan No-nonsense techniques, libraries, and best practices you can use to keep your Python applications …
DESCRIPTION Modern applications are constantly sending, receiving, and reacting to streams of data including internal messages, user and system events, and sensor input. Reactive …
Programmer's Guide to Apache Thrift provides comprehensive coverage of the Apache Thrift framework along with a developer's-eye view of modern distributed application architecture. …
D3 allows developers to create scalable graphs for any modern browser. They start with a structure, dataset, or algorithm and programmatically generate static, interactive, or …
A guide to Web design with Apache and Perl covers security, performance, script merging, server configuration, Open Source databases and development tools, content development, and …
Build powerful, production-ready search applications using the incredible features of Elasticsearch. In ElasticSearch in Action, Second Edition you will discover: …
PrivacyEngineering is a hands-on guide to building a modern and flexible privacy program for your organization. It helps map essential legal requirements into practical engineering …
Learn everything about the latest machine learning techniques and create search engines that drive more domain-aware and intelligent search. AI-Powered Search teaches you the …
Description AWS gives users the networking, compute, and security services they need without making them pay for anything they’re not actually using. With almost a hundred …