<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>data-mining on Alexander Development</title><link>https://alexanderdevelopment.net/tag/data-mining/</link><description>Recent content in data-mining on Alexander Development</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Tue, 01 Dec 2015 03:08:34 +0000</lastBuildDate><atom:link href="https://alexanderdevelopment.net/tag/data-mining/index.xml" rel="self" type="application/rss+xml"/><item><title>Predictions in Dynamics CRM with custom Azure Machine Learning integrations</title><link>https://alexanderdevelopment.net/post/2015/12/01/using-azure-machine-learning-predictive-data-models-in-dynamics-crm/</link><pubDate>Tue, 01 Dec 2015 03:08:34 +0000</pubDate><guid>https://alexanderdevelopment.net/post/2015/12/01/using-azure-machine-learning-predictive-data-models-in-dynamics-crm/</guid><description>Earlier this year I wrote a post that showed how to perform sentiment analysis in Dynamics CRM using Microsoft Azure Text Analytics. Azure Text Analytics makes it incredibly easy to use sentiment analysis (with English text only), but the full Azure Machine Learning offering is much more powerful. In today&amp;rsquo;s post I will show how to create a custom predictive web service in Azure ML and make predictions with it in Dynamics CRM.</description></item></channel></rss>