Data Science ATL Meetup: Solving Big Data Problems with the Open Source HPCC Systems Platform

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Thank you attendees for joining us! Below are the materials from the meetup.

HPCC Systems will be a guest speaker at the Data Science ATL meetup.

Thursday, September 13, 2012
Atlanta, GA

HPCC (High Performance Computing Cluster) Systems from LexisNexis is an open source massive parallel-processing computing platform that solves Big Data problems. Included in the platform is an extensible set of fully parallel Machine Learning and Matrix processing algorithms to assist with business intelligence; covering supervised and unsupervised learning, document and text analysis, statistics and probabilities, and general inductive inference related problems. ECL, the high level declarative data oriented programming language used with the HPCC Systems platform along with the associated Machine Learning toolkit, offer effortless linear scalability across entire clusters. A set of fully parallel linear algebra operations, written in ECL, provides extensibility, allowing for the quick implementation of new high level algorithms.

Flavio Villanustre, LexisNexis Vice-President of Technology Architecture and Product, will present an overview of the existing capabilities and algorithms of the HPCC Systems platform and ECL language and share our latest developments in distributed machine learning and how to leverage the most appropriate algorithms to quickly extract knowledge from big data to help make critical decisions. Open discussion to follow.

Food and beverages will be provided. Attendees will have a chance to win a Kindle Fire & other prizes (including a free pass to our HPCC Systems introductory training classes) following the presentation!

6:30 - 7:00 – Welcome Reception / Meet & Greet
7:00 - 7:05 - Introduction and announcements
7:05 - 8:20 – Presentation, Demo and Q&A
8:20 - 8:30 – Open discussion & raffle drawing


September 13, 2012
Atlanta, GA

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