Hillsborough SQL User Group

Welcome to the Hillsborough SQL Server Chapter

The Hillsborough SQL User Group is interested in sharing information about Microsoft SQL Server and related topics.  The meetings are free to all who wish to attend.  Food and drinks will be served at most meetings.

We meet at the Corporate Center I at 6:30pm on the last Thursday of every month except November and December. Food usually arrives at 6:00pm to allow networking until the meeting starts at 6:30pm.  The address is 2202 North Westshore Boulevard, Suite 122, Tampa, FL.

We look forward to seeing you there. 

Next Meeting




Getting Started with Machine Learning Service and Python

  • In-Person @ 2202 North Westshore Boulevard Tampa, Florida, United States (map)
  • 18:30 - 21:00 Eastern Daylight Time
  • Language: English

Michael Warner presents Getting Started with Machine Learning Service and Python


Featured Presentation:

Getting Started with Machine Learning Service and Python

Michael Warner, Senior Big Data Manager Withheld

One of the coolest new features of SQL Server 2017 is its integration with Python for machine learning (ML). By combining the two technologies SQL Server 2017 can query predictive models very quickly and provide a smoother development platform for machine learning. A common task for ML systems is to classify text and graphics into one or more categories. Sentiment analysis and document type sorting are two classic and well established use cases. At the end of the presentation attendees will understand the mechanics of developing a machine learning application and how Machine Learning Services fits into this process. Topics covered: 1. Features of Machine Learning Services 2. Basics of machine learning 3. ML models 4. Python and 5. Training the model 6. Integrate the code into MLS 7. Operationalization

About Michael:
Michael has worked in the data space for over a decade and has recently been leading big data projects in the area of civil rights. His toolset is diverse but he has a particular penchant for MS SQL Server, Python, and Tableau. Most of his recent projects involve deriving insight from public data and natural language processing.



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