Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Data science guide for PASS Summit 2014

1,261 views

Published on

Purpose: To provide a scientific roadmap for data science at PASS Summit 2014 -- Seattle, WA -- November 5 to 7, 2014

Published in: Data & Analytics

Data science guide for PASS Summit 2014

  1. 1. Data Science Guide for PASS Summit 2014 Mark Tabladillo Ph.D. Microsoft MVP --Consultant (SolidQ)
  2. 2. Purpose To provide a scientific roadmap for data science at PASS Summit 2014
  3. 3. Mark Tab SQL Server MVP; SAS Expert Consulting Training Teaching Presenting Linked In @MarkTabNet
  4. 4. Outline Overview of Data Science and PASS Summit Presentation Summary and Details Action Steps
  5. 5. Outline Overview of Data Science and PASS Summit Presentation Summary and Details Action Steps
  6. 6. What is Data Science? •Data Mining •Machine Learning •Predictive Analytics The process of discovering patterns or models from data
  7. 7. What is PASS Summit? Paid Conference Seattle, WA Nov 5 –7 http://www.sqlpass.org/summit/2014/RegisterNow.aspx
  8. 8. Outline Overview of Data Science and PASS Summit Presentation Summary and Details Action Steps
  9. 9. Presentation Summary Type Cluster (Level) Distinct Count Keynote 100 (General Audience) 1 Pre-conference 300 (Technology Level) 3 Sessions 200 (OverviewLevel) 3 Sessions 300 (Technology Level) 2
  10. 10. Presentation Details Look at sessions on advanced analytics Map the sessions to Microsoft technology and the CRISP-DM model
  11. 11. Model: CRISP-DM CRISP-DM = Cross Industry Standard Practice for Data Mining Yes, DM = Data Mining but the model applies to Machine Learning and Predictive Analyticstoo
  12. 12. Keynote: Main General Session
  13. 13. Preconference November 3
  14. 14. Preconference November 3
  15. 15. Preconference November 4
  16. 16. Session (200): November 6
  17. 17. Session (200): November 5
  18. 18. Session (200): November 6
  19. 19. Session (300): November 6
  20. 20. Session (300): November 7
  21. 21. The Microsoft Data Platform 
  22. 22. Outline Overview of Data Science and PASS Summit Presentation Summary and Details Action Steps
  23. 23. Preparation Machine Learning Blog http://blogs.technet.com/b/machinelearning/ Forum http://social.msdn.microsoft.com/forums/azure/en- US/home?forum=MachineLearning SQL Server Data Mining http://sqlserverdatamining.com MarkTab http://marktab.net
  24. 24. Advanced Questions
  25. 25. What about MarkTab? https://www.sqlsaturday.com/337/eventhome.aspx http://www.meetup.com/The-Seattle-Business-Intelligence-Meetup/
  26. 26. Final Recommendations Bring a laptop (especially for the preconference sessions) Bring written questions Meet at least one person in every presentation

×