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From Karen Vuong <>
Subject [VIRTUAL] MADlib Meeting: Bayesian Analysis of Binomial Response Models on MPP Databases (Greenplum & HAWQ) using MADlib Matrix Operations
Date Fri, 08 Jan 2016 02:54:48 GMT
Hello MADlib contributors,

We'd like to invite you to the next MADlib virtual community meeting on
Tuesday, January 15th.

Gautam will present a 20-minute overview of some recent R&D work that he
has been doing using MADlib. Gautam will present Bayesian analysis of
binomial response models on MPP Databases like Greenplum and HAWQ using
MADlib matrix operations. Specifically, he will walk the audience through
Bayesian analysis involving MCMC sampling techniques of the Probit and
Logistic regression models that accept arbitrary user specified parameter
priors. The code for this analysis can be found on the following Github

About Gautam

Gautam Muralidhar is currently a Sr. Data Scientist at Pivotal where he
helps customers derive actionable insights from data by solving machine
learning problems for them using state of the art analytics infrastructure
and tools from Pivotal's stack. His areas of expertise include machine
learning, image processing, and computer vision. At Pivotal, his work has
spanned multiple verticals including Automotive, Logistics, Finance, and
Healthcare. He holds an undergraduate degree in Electronics and
Communications Engineering from R. V. College of Engineering, Bangalore,
India, and a masters and a Ph.D. degree in Biomedical Engineering from The
University of Texas at Austin, USA.

We look forward to having you join us!

Please join us on January 15th, 2016 at:

1/15 San Francisco, CA 9:45 AM PST UTC-8 hours
1/15 New York, NY 12:45 PM EST UTC-5 hours

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address bar.  It's EASY to miss. You click it and it allows Adobe to use
the mic, even if you select 'allow' in the popup, it doesn't work until you
change it in address bar too.

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Karen Vuong

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