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

Our typical Monthly meeting structure:

6:00PM-6:15PM: Check-in, food! 
6:20PM-7:45PM: Annoucements, Sponsors, Presentation
7:45PM-8:00PM: Wrap up, prizes, Networking
8:00PM-Whenever: Social time: Dave & Busters or another selected location.

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

Next Meeting: Wed, Feb 20 2019

Introduction to Azure Machine Learning Studio

Language: English
Event Type: In-Person
Online Meeting URL: None
RSVP URL: https://www.meetup.com/Jacksonville-SQL-Server-User-Group/events/257222980/

In the session, we will be looking at Azure Machine Learning Studio and how it is used to create a predictive model. We will briefly discuss the principles of Data Science and how we can apply it to creating an experiment. The session will primarily consist of an instructor led demo which will use publicly available datasets to create a predictive experiment.

When

iCal
UTC : Wed, Feb 20 2019 23:00 - 01:00
Event Time : Wed, Feb 20 2019 18:00 - 20:00 (UTC-05:00) Eastern Time (US & Canada)
Your Local Time: Wed, Feb 20 2019 23:00 - 01:00

Where

6430 Southpoint Pkwy
Jacksonville, Florida

Direction: None

Featured Presentation

Introduction to Azure Machine Learning Studio

Speaker: Manuel Quintana, Training Content Manager Pragmatic Works

Summary: In the session, we will be looking at Azure Machine Learning Studio and how it is used to create a predictive model. We will briefly discuss the principles of Data Science and how we can apply it to creating an experiment. The session will primarily consist of an instructor led demo which will use publicly available datasets to create a predictive experiment.

About Manuel: Greetings. I have been an employee with Pragmatic Works for the past 4 years. I have supported our software products and now have joined our training team. Teaching topics such as Power BI, T-SQL, SSIS and the other main items for the microsoft BI stack. Business Intelligence is a passion of mine and I always love learning new things. My strongest areas of knowledge lay in SSIS as well as Power BI.

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