Data science guide for PASS Summit 2014

Daniele Mendonça de Chaves

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

Données & analyses

Data Science Guide for PASS Summit 2014
Mark Tabladillo Ph.D.
Microsoft MVP --Consultant (SolidQ)

Purpose
To provide a scientific roadmap for data science at PASS Summit 2014

Mark Tab
SQL Server MVP; SAS Expert
Consulting
Training
Teaching
Presenting
Linked In
@MarkTabNet

Outline
Overview of Data Science and PASS Summit
Presentation Summary and Details
Action Steps

What is Data Science?
•Data Mining
•Machine Learning
•Predictive Analytics
The process of discovering patterns or models from data

What is PASS Summit?
Paid Conference
Seattle, WA
Nov 5 –7
http://www.sqlpass.org/summit/2014/RegisterNow.aspx

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

Presentation Details
Look at sessions on advanced analytics
Map the sessions to Microsoft technology and the CRISP-DM model

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

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

What about MarkTab?
https://www.sqlsaturday.com/337/eventhome.aspx
http://www.meetup.com/The-Seattle-Business-Intelligence-Meetup/

Final Recommendations
Bring a laptop (especially for the preconference sessions)
Bring written questions
Meet at least one person in every presentation

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