The document outlines a presentation by Hiram Fleitas on using machine learning and Python within SQL Server to predict sentiment for Universal Property & Casualty Insurance Company. It includes an agenda with topics such as adding machine learning features, granting access, installing models, and real-time scoring. Various resources, links to related webinars, and information on feedback submission for the session are also provided.

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)

2. Please silence
cell phones

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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

8. DEMOSQL Server
Machine Learning & AI

9. SQL ML / AI

13. Not in 2019ctp2

14. 2019ctp2
2017

16. 2019ctp2
2017

17. 2019ctp2

18. 2017

19. 2019ctp2

50. 6
8999 8999
30 17 30.2
529.35
2999.66
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
PySQL In-DB CLR
5x Faster (sp_rxPredict) – Laptop
Rows Seconds RPS

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

58. Sponsor

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