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August, 2016 Chapter Meeting PDF Print E-mail
Written by VP of Online Services   
Thursday, 14 July 2016 02:28

Announcement:

Due to scheduling conflict, Advanced Data Visualization with Amit Manghani,
scheduled for July 21st at Cambia/Regence, is postponed until January 2017

And we have an exciting substitution!

 

Monthly Chapter Meeting Rescheduled:

Speaker: Asoka Diggs (see, new presentation abstract below)

When: August 4, 2016, 8:30-11:30am

Where: Cambia/Regence

 

REGISTER NOW!

Journey from ER Modeler to Data Scientist & Basics of Text Analytics

Presented by: Asoka Diggs

We will be talking about what data science is and isn’t, with particular focus on the skills that a data scientist is expected to bring to bear on a problem. We will discuss the educational and skill expectations of a data scientist and how those relate to the skills we’ve developed as ER Modelers.

Going by job descriptions, data science can easily read like “jack of all trades, and master of them all too”. How do we break that down into something more reasonably achievable?

  • What is data science and what is a data scientist? What do they do?
  • Do ER Modelers make good Data Scientists?
  • Are the skill sets complementary?

And then we’ll look at some of the basics of text analytics, or extracting information from unstructured text. This won’t be nearly enough detail to make anybody a practitioner, but we will see several of the basic techniques at work and develop a functional mental model of some of the techniques. By the time we’re done, you’ll have been exposed to concepts like:

  • Term-Document Matrix (TDM)
  • Tokenizing
  • Stopword removal (Stopping)
  • Stemming
  • And as a bonus – we’ll see some Python code for extracting noun phrases


Bring your questions around these topics and let’s get into them.

Speaker

Asoka Diggs is a Data Scientist with Intel Corp. in Hillsboro, OR. He has about 15 years of experience in a variety of data management disciplines, including database administration, ER modeling, ETL development, and data architecture. He has recently transitioned to analysis of data by completing the MS Predictive Analytics degree from Northwestern University. It turns out that there IS something even more fun than ER modeling, and he now spends most of his work time practicing his analytic modeling skills, and teaching others how to participate and contribute to predictive analytic projects.

 

Event Details



When

August 4, 2016 (Special For Chapter Meeting)

Schedule

8:30 - 9:00 am - Sign In
9:00 - 10:15 am - Presentation
10:15 - 10:30 am - Break, Chapter Announcements
10:30 - 11:30 am - Presentation continued

Location

Cambia Health / Regence
Building Conference Room (aka Propeller Room)
200 SW Market Street, Portland, OR 97201

Cost

Free for Members!
$15 for Non-Members
$5 for Students with valid student ID
See our corporate members

 

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Last Updated on Thursday, 14 July 2016 07:28