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	<title>Damien Seguy &#8211; phpDay 2016</title>
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	<description>The international PHP Conference</description>
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		<title>PHP 7 compliance workshop</title>
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		<pubDate>Sat, 12 Mar 2016 00:53:11 +0000</pubDate>
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		<description><![CDATA[When migrating, we often need to review old code and target only the interesting issues. This session will connect the backward incompatibilities and new features to actual location in the code, relying on static analysis to process quickly large code base. Based on the accumulated experience of the tools, we&#8217;ll review the issues, diagnose criticality, [&#8230;]]]></description>
				<content:encoded><![CDATA[<p><span data-sheets-value="[null,2,&quot;When migrating, we often need to review old code and target only the interesting issues. This session will connect the backward incompatibilities and new features to actual location in the code, relying on static analysis to process quickly large code base. Based on the accumulated experience of the tools, we'll review the issues, diagnose criticality, select the best fixes and prioritize the tasks. All tools will be Open Source, and ready to follow you home for more validation.&quot;]" data-sheets-userformat="[null,null,9089,[null,0],null,null,null,null,null,null,0,4,0,null,null,null,8]">When migrating, we often need to review old code and target only the interesting issues. This session will connect the backward incompatibilities and new features to actual location in the code, relying on static analysis to process quickly large code base. Based on the accumulated experience of the tools, we&#8217;ll review the issues, diagnose criticality, select the best fixes and prioritize the tasks. All tools will be Open Source, and ready to follow you home for more validation.</span></p>
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		<title>Machine learning for PHP</title>
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		<pubDate>Sat, 12 Mar 2016 00:37:08 +0000</pubDate>
		<dc:creator><![CDATA[admin]]></dc:creator>
		
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		<description><![CDATA[Machine learning is teaching the computer how to learn by itself. It is far easier to be done, especially when you have small data set and a good level of expertise in your field. Classifying objects, predicting who will buy, where to park your car or which test will fail may be achieved with grassy [&#8230;]]]></description>
				<content:encoded><![CDATA[<p><span data-sheets-value="[null,2,&quot;Machine learning is teaching the computer how to learn by itself. It is far easier to be done, especially when you have small data set and a good level of expertise in your field. Classifying objects, predicting who will buy, where to park your car or which test will fail may be achieved with grassy algorithm like neural networks, genetic algorithms or ant herding. PHP is in good position to make use of such teachings, and take advantages of related technologies like R. By the end of the session, you'll know where you want to try it.&quot;]" data-sheets-userformat="[null,null,9089,[null,0],null,null,null,null,null,null,0,4,0,null,null,null,8]">Machine learning is teaching the computer how to learn by itself. It is far easier to be done, especially when you have small data set and a good level of expertise in your field. Classifying objects, predicting who will buy, where to park your car or which test will fail may be achieved with grassy algorithm like neural networks, genetic algorithms or ant herding. PHP is in good position to make use of such teachings, and take advantages of related technologies like R. By the end of the session, you&#8217;ll know where you want to try it.</span></p>
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