Phoenix DAMA Presents – Asoka Diggs

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LOCATION:

SRP ISB

1600 N Priest Dr

Tempe, AZ  85281

 Parking: From Priest turn west onto Salt River Dr,
turn left at 2nd driveway.

DATE:

Thursday March 5, 2015

8:00 – 8:30 AM: Bagels & Coffee

8:30 – 12:00 Noon:

Data Mining for Data Modelers with Asoka Diggs

Asoka DiggsAsokaDiggs

Directions to SRP Information Systems Building

SESSION SUMMARY

This will be a brief introduction to some of the important concepts that arise in data mining in general and classification analysis in particular. The focus in this presentation will be helping attendees to develop a functional mental model of what goes on in data mining / advanced analytics, and to develop their ability to frame business problems as data mining problems.

Through a demonstration driven presentation format, attendees will be exposed to a variety of data mining topics. Throughout the demo, attention will be paid to points of intersection with traditional data modeler work products including the data dictionary and dimensional data model. Attendees will also leave with a variety of links and references for additional self-study.

Particular topics that will be addressed:

  • Formulating business problems as data mining problems
  • Supervised Learning
  • Classification methods including Decision Tree and Logistic Regression
  • Model Validation
  • No math!

WHO SHOULD ATTEND: – Business and IT management – Statisticians, Actuaries, Mathematicians, Data Analysts – Business Intelligence professionals – Business Analysts – Data Architects – Database Programmers and Designers – Data Modelers – Enterprise Architects

SPEAKER BIOGRAPHY

Asoka is a Data Scientist with Intel Corp. in Hillsboro, OR.  He has 15 years of experience in a variety of data management disciplines, including database administration, ER modeling, ETL development, and data architecture. He recently began his own transition to data science when he joined the inaugural class of the Northwestern University MS program in Predictive Analytics. It turns out that there IS something even more fun than ER modeling, and he now spends his work time practicing his new analytic modeling skills, and teaching others how to participate and contribute to predictive analytic projects.

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