Jacksonville SQL Server Users Group

Welcome to the Jacksonville SQL Server Users Group

The Jacksonville SQL Server Users Group (JSSUG) was founded by Brian Knight in January 2003, creating a community for database developers and administrators in the Jacksonville area. The goal of JSSUG is to share knowledge, best practices, and network. Today, it is a community focusing on development, administration, and business intelligence. Free meetings are open to the public every month. Meetings include presentations, technology announcements, local job opportunities, and quick brainstorming/guidance for users experiencing difficulty. An after event for additional networking, shop talk, and users desiring more detailed guidance for specific challenges is available following the meeting.

Welcome

In an ongoing attempt to make the content presented useful to our members we start each meeting with a short Q&A session.  Unless noted in the meeting notes the schedule for each meeting will be:

6:00 - 6:20 - General Q&A session & Announcements 6:20 - 7:30 - Presentation(s) 7:30 - 7:45 - Door prizes and Question & Answer session 7:45-Whenever - Social time

 **NEW Location**Address:

Keiser University 
6430 Southpoint Pkwy #100
Jacksonville, FL 32216

If you have any questions, please feel free to email: Jeff Taylor at jeff@reviewmydb.com. 

Next Meeting

Wednesday,

March

16

JSSUG Monthly Meeting - March 16, 2016

Regular Monthly Meeting

Featured Presentation:

6 Easy Steps to Getting a Predictive Model Up and Running

Jason Schuh

Building predictive models may seem intimidating at first, but the truth is its fairly simple when you break it down into its core components. Modern modeling tools like Azure ML make it even easier with a host of complex functionality built into easy use drag and drop components. Almost anyone with a good sense for data and a fair understanding of how business processes work can easily get started with their first predictive model. In this webinar, we will walk through the following six steps and identify the areas where you likely already have the skills to succeed. • Importing the data • Cleaning the data • Feature Engineering • Modeling the data • Scoring the data • Evaluating the model

About Jason:
Data strategist with 18 years of experience in analytics, business intelligence, predictive analytics. Masters Degree in Predictive Analytics from Northwestern University.

  

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