New England Netezza User Group cordially invite you and your guests to our next meeting and the presentation of
R and Netezza
By Thomas Dinsmore and David Weisman
Sponsored by IQ Associates and IBM
R has become a driving force behind data mining, machine learning, predictive analytics, and traditional statistics. Citi, Facebook, Google, Johnson & Johnson, Kraft, Orbitz, Proctor & Gamble, and the New York Times all depend on R for analyzing complex data and producing elaborate graphics.
In this meeting we have teamed up with an IBM expert, Thomas Dinsmore, and an industry practitioner, David Weisman. Tom will give an introduction of R and the latest of R in Netezza. David will follow up with a session that introduces the R Ecosystem from the commercial, community and technology perspectives. In addition, David will analyze a dataset—from initial exploration through predictive analytics—using R tools and graphics. After this session, you will have a general understanding of R, its scope, and how you can use R in your work.
When: Wednesday September 5th
6:00 PM to 6:30 PM – Networking and Snacks
6:30 PM to 7:00 PM – R and Netezza by Thomas Dinsmore
7:00 PM to 8:00 PM – How you can use R in your work by David Weisman
Where: Cambridge IBM Research Facility
1 Rogers Street
Cambridge, MA 02142
About our Speakers:
Thomas Dinsmore is a Solution Architect on the IBM Netezza Advanced Analytics team. He supports customers worldwide seeking to leverage the power of IBM Netezza Analytics.
Thomas has worked professionally with data mining and statistics since 1985, and has helped hundreds of clients derive useful insights from data to address problems in Pricing, Product Development, Marketing Channel Optimization, Media Mix Optimization, Customer Loyalty and Credit Risk Management. He has also worked with customers to manage the deployment of large-scale analytic solutions spanning data, applications, custom development and user integration.
David Weisman consulted in computer science and software engineering for 25 years and recently earned his Ph.D. in molecular biology, focusing heavily in bioinformatics and big data mining. Currently, he is consulting in data science, as well as research and teaching.
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