<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data Security on Sammy Farida</title><link>https://me.itsecurity.network/tags/data-security/</link><description>Recent content in Data Security on Sammy Farida</description><generator>Hugo -- 0.147.3</generator><language>en</language><lastBuildDate>Fri, 14 Mar 2025 23:30:20 -0400</lastBuildDate><atom:link href="https://me.itsecurity.network/tags/data-security/index.xml" rel="self" type="application/rss+xml"/><item><title>Synthetic Data Hub</title><link>https://me.itsecurity.network/projects/synthetic-data-hub/</link><pubDate>Fri, 14 Mar 2025 23:30:20 -0400</pubDate><guid>https://me.itsecurity.network/projects/synthetic-data-hub/</guid><description>&lt;h2 id="-synthetic-data-hub">🛠️ Synthetic Data Hub&lt;/h2>
&lt;p>What is a &lt;strong>Synthetic data&lt;/strong>: Artificially generated data rather than produced by real-world events. Typically created using algorithms, synthetic data can be deployed to validate mathematical models and to train machine learning models.&lt;/p>
&lt;p>Data generated by a computer simulation can be seen as synthetic data. This encompasses most applications of physical modeling, such as music synthesizers or flight simulators. The output of such systems approximates the real thing, but is fully algorithmically generated.&lt;/p></description></item></channel></rss>