HPCC Systems Blog

HPCC Systems blog contributors are engineers and data scientists who for years have enabled LexisNexis customers to use big data to fulfill critical missions, gain competitive advantage, or unearth new discoveries. Check this blog regularly for insights into how HPCC Systems technology can put big data to work for your own organization.

by Jessica Lorti
on 01/13/2017

On January 12, 2017, HPCC Systems hosted the first ever episode of The Download: Tech Talks.  These technically-focused talks are for the community, by the community.  The Download: Tech Talks is intended to provide continuing education through high quality content and meaningful development insight throughout the year.

Watch the webcast here: https://www.brighttalk.com/webcast/15091/240577

by Jessica Lorti
on 12/14/2016

Following the HPCC Systems Community Day, Jeff Bradshaw, founder of Adaptris (www.adaptris.com), and Graeme McCracken, COO of Proagrica (www.proagrica.com) joined The Download to discuss their implementation of HPCC Systems. 

by Richard Chapman
on 12/13/2016

TensorFlowTM (see https://www.tensorflow.org) is a new open-source program from Google for performing linear algebra operations on tensors (matrices) and connecting multiple such operations together. It is particularly suited for machine learning applications, and supports operations on GPUs as well as cluster-based operations across multiple machines when dealing with data that is too large for a single machine to handle. Tensorflow uses a dataflow paradigm that should feel familiar to ECL users - they even have a pretty visualization tool for examining the resulting execution graphs.

by Lorraine Chapman
on 12/12/2016

Lily Xu joined the team as part of the HPCC Systems intern program in the summer of 2016. Lily is a PhD student at Clemson University, studying Computer Science which includes options in machine learning, data mining and software architecture. Lily submitted a proposal to implement the Yinyang K-Means clustering algorithm in ECL as a new feature to be included in the HPCC Systems machine learning library.

by Lorraine Chapman
on 12/12/2016

Sarthak Jain joined the HPCC Systems platform team as a student contributor during our involvement with the Google Summer of Code program in 2015. He added new statistics to the HPCC Systems Linear and Logistic Regression machine learning module. He returned to the team as part of the 2016 HPCC Systems summer intern program, again working on a machine learning related project, implementing Latent Semantic Analysis (LSA).

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