<?xml version='1.0' encoding='UTF-8'?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:ccmbenchmark="https://www.ccmbenchmark.com/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Cindi Howson : Dernier contenus</title><link>/account/cindi-howson-25309</link><atom:link href="/account/cindi-howson-25309" rel="self" type="application/rss+xml" /><language>fr</language><pubDate>Mon, 03 Aug 2026 23:11:03 +0200</pubDate><lastBuildDate>Mon, 03 Aug 2026 23:11:03 +0200</lastBuildDate><item><title>Comment passer au machine learning sans data scientists</title><link>https://www.journaldunet.com/cloud/1195482-comment-passer-au-machine-learning-sans-data-scientists/</link><description><![CDATA[<a href="https://www.journaldunet.com/cloud/1195482-comment-passer-au-machine-learning-sans-data-scientists/"><img src="https://img-0.journaldunet.com/wGQcZ7mux-IGPfydjLXaRGM5nOU=/100x/smart/0d80e4cff52942bb8e50284634816fff/user-jdn/10020305-anonyme-anonyme.png" align="left" hspace="5" vspace="0"></a>Sans disposer de data scientists, il est difficile de s’aventurer dans le machine learning. Or, faute de projets pilotes réussis, il est tout aussi difficile de convaincre les dirigeants de la nécessité d’embaucher des data scientists.]]></description><pubDate>Mon, 19 Jun 2017 16:33:32 +0200</pubDate><guid>https://www.journaldunet.com/cloud/1195482-comment-passer-au-machine-learning-sans-data-scientists/</guid><dc:creator><![CDATA[Cindi Howson]]></dc:creator><ccmbenchmark:content_author><![CDATA[Cindi Howson]]></ccmbenchmark:content_author><ccmbenchmark:content_author_company><![CDATA[Gartner]]></ccmbenchmark:content_author_company><ccmbenchmark:content_author_illustration>1</ccmbenchmark:content_author_illustration></item></channel></rss>