BEGIN:VCALENDAR VERSION:2.0 PRODID:-//SQLBits/com CALSCALE:GREGORIAN METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VEVENT DTSTART:20170407T143000Z DTEND:20170407T153000Z LOCATION:Dome 2, SQLBits 2017, The International Centre SUMMARY:In-database Predictive Analytics with SQL Server vNext DESCRIPTION:SQL Server vNext R Services and the new MicrosoftML package X-ALT-DESC;FMTTYPE=text/html:

In-database Predictive Analytics with SQL Server vNext

In this session we will look at SQL Server R Services and, in particular, the new MicrosoftML package available in SQL Server vNext and how it can be used to build an in-database Predictive Analytics Model, that can scale. The session will provide a brief introduction to supervised Machine Learning before applying that to a real world scenario, taking you through each of the steps required to build an in-database predictive analytics model using R and SQL Server vNext.

Sacha Tomey

Sacha Tomey is Technical Director and co-founder of Adatis, a Microsoft Gold Partner for Data Analytics.  He has an extensive background in technology, data in particular having delivered strategic enterprise solutions into a variety of industries across a broad selection of organisations.

http://blogs.adatis.co.uk/sacha%20tomey UID:SQLBITS3360SEQUENCE:0 DTSTAMP:20170524T003539Z END:VEVENT END:VCALENDAR