- TITLE:
Using Machine Learning and Python in SQL Server To Predict The Sentiment
Speaker: Fleitas, Hiram
- ABSTRACT:
In this session, I'm very excited to show you from start to finish how to use Machine Learning to predict a sentiment in real-time with SQL Server (On-Premise).
- AGENDA:
1. Add ML Features
2. Grant Access
3. Config
4. Install Pre-Trained & Open Source ML Models (DNN)
5. Code in Python and T-SQL
6. Python Profiling
7. Real-time scoring
8. Review Sentiment Results
9. Resources
(BI Advanced) Hiram Fleitas - SQL Server Machine Learning Predict Sentiment On-Prem in Real-Time
1. Microsoft BI User Group South Florida
Hiram Fleitas
Universal Property & Casualty Insurance Company
Public: goo.gl/BqfYSi
Using Machine Learning and Python In SQL Server
To Predict The Sentiment (On-Premise)
4. Explore everything PASS has to offer
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5. Session evaluations
Your feedback is important and valuable.
Submit your feedback by the end of this session to win a prize.
hiram/evalsgoo.gl/mpcvCA
goo.gl/mpcvCA
6. BIO
Father, SQL Server DBA/Dev, IT Pro,
GRT, USCG Auxiliary.
*Dev since 1995.
*SQL since 1999.
FUN
Wakeboard, Wakesurf, Snowboard,
GORUCK, Family.
/HiramFleitas
hiramfleitas@hotmail.com
dba2o.wordpress.comHiramFleitas
@HiramFleitas
Hiram Fleitas
Principal Database Architect @UPCIC
/hfleitas
7. Agenda
• Add ML Features
• Grant Access
• Config
• Install Pre-Trained & Open Source ML Models (DNN)
• Code in Python and T-SQL
• Python Profiling
• Real-time scoring
• Review Sentiment Results
• Resources
• Raffle
57. Resources
Slides, Scripts, Recordings, Notes:
• Public: https://goo.gl/BqfYSi
• Sneak Peeks: 2017 Videos
• PASStv: http://pass.org/summit/2017/PASStv.aspx
• Keynote Day 1: https://youtu.be/NGbk9XGWTHI
• Microsoft BI - An Integrated Modern Solution: https://youtu.be/T0If-SNl08A
• Keynote Day 2: https://youtu.be/7SRi9vyDtWY
• Keynote Day 3 (WIT): https://youtu.be/8JnXi0gnTb8
• Speakers: http://pass.org/summit/2017/Speakers.aspx
• Power BI galleries: Galleries
• Power BI webinars: Webinars
• Apply Forecasting: Desktop analytics pane
• Power BI Report Server Documentation: Get started
• Microsoft SQL Server Mobile Report Publisher: Download
• Power BI Desktop: Download
• The Roadmap for SQL Server 2019: https://youtu.be/PbJB--ntCaE
More:
• @sqlpass, #PASSSummit, #PowerBIHelp, #sqlhelp, @MSPowerBI, @mssqltiger
• Join Slack workspace: http://dbatools.io/slack
• Slack channels: #dbatools, #firstresponderkit, #general, #pass-summit, #query-
tuning, #sqlhelp, #git-help
• Pass Virtual Groups: Community Groups (App Dev, BI, DBA, DevOps, Global Spanish,
HA/DR, Performance, PowerShell, Virtualization, Linux)
• More webinars: Channel9, GroupBy, SQLWorkBooks
• Microsoft AI: AI School Learning Paths
• Models: Install pre-trained Machine Learning models on SQL Server
• Tutorials: Get Started with SQL Server Machine Learning Services
• Interaction of Components: SQL Server Components to Support Python
• Threading ML: Logistic Regression
• Resource Governor: Alter External Resource Pool
• Product Reviews Dataset: Amazon Customer Reviews Dataset
• Spyder IDE: Download Spyder with Anaconda (631MB)
• VSCode: Download (43 MB)
• Visual Studio: Downloads
Hiram Fleitas
Thurs, Oct 25
6 pm - 9 pm
Business Intelligence
59. Session evaluations
Your feedback is important and valuable.
Submit your feedback by the end of this session to win a prize.
hiram/evalsgoo.gl/mpcvCA
goo.gl/mpcvCA
60. Thank You
Hit me up!
hiramfleitas@hotmail.com
dba2o.wordpress.comHiramFleitas
@HiramFleitas
/hfleitas/HiramFleitas