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(BI Advanced) Hiram Fleitas - SQL Server Machine Learning Predict Sentiment On-Prem in Real-Time

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(BI Advanced) Hiram Fleitas - SQL Server Machine Learning Predict Sentiment On-Prem in Real-Time

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- 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

- 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

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(BI Advanced) Hiram Fleitas - SQL Server Machine Learning Predict Sentiment On-Prem in Real-Time

  1. 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. 2. Please silence cell phones
  3. 3. Explore everything PASS has to offer Free online webinars Local user groups around the world Free 1-day local training events Online special interest user groups Business analytics training Get involved Free Online Resources PASS Blog White Papers Session Recordings Newsletter PASS Connector BA Insights www.pass.org
  4. 4. 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
  5. 5. 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
  6. 6. 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
  7. 7. DEMOSQL Server Machine Learning & AI
  8. 8. SQL ML / AI
  9. 9. Not in 2019ctp2
  10. 10. 2019ctp2 2017
  11. 11. 2019ctp2 2017
  12. 12. 2019ctp2
  13. 13. 2017
  14. 14. 2019ctp2
  15. 15. 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
  16. 16. 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
  17. 17. Sponsor
  18. 18. 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
  19. 19. Thank You Hit me up! hiramfleitas@hotmail.com dba2o.wordpress.comHiramFleitas @HiramFleitas /hfleitas/HiramFleitas

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