Posts Tagged ‘ Hadoop ’

Strangeloop 2011 Day 2

September 21, 2011
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Strangeloop 2011 Day 2

I’m headed back home from Strangeloop 2011 this morning. Once again I booked an early flight so was up at 4:45 to get to the airport (when will I learn?) The conference was a smashing success as far as I am concerned. It was extremely well run and the talks were full of solid...

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SIGKDD 2011 Conference — Days 2/3/4 Summary

August 27, 2011
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SIGKDD 2011 Conference — Days 2/3/4 Summary

<< My review of Day 1.

I am summarizing all of the days together since each talk was short, and I was too exhausted to write a post after each day. Due to the broken-up schedule of the KDD sessions, I group everything together instead of switching back and forth among a dozen different topics....

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SIGKDD 2011 Conference — Day 1 (Graph Mining and David Blei/Topic Models)

August 22, 2011
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SIGKDD 2011 Conference — Day 1 (Graph Mining and David Blei/Topic Models)

I have been waiting for the KDD conference to come to California, and I was ecstatic to see it held in San Diego this year. AdMeld did an awesome job displaying KDD ads on the sites that I visit, sometimes multiple times per page. That’s good targeting!

Mining and Learning on Graphs Workshop 2011

I had...

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Review of 2011 Data Scientist Summit

May 13, 2011
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Review of 2011 Data Scientist Summit

Some time over the past 6 weeks I randomly saw a tweet announcing the “Data Scientist Summit” and shortly below it I saw that it would be held in Las Vegas at the Venetian. Being a Data Scientist myself is reason enough to not pass up this opportunity, but Vegas definitely sweetens the deal!...

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Software tools for data analysis – an overview

February 19, 2011
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Software tools for data analysis – an overview

by Szilard Pafka Discussions on various software tools (C, C++, Perl, Python, Unix shell, R, Matlab, SAS, SPSS, Excel, databases, Hadoop etc.) used in data analysis. Szilard Pafka (founder and co-organizer of the Los Angeles R users group) presents an … Continue reading

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RHIPE: An Interface Between Hadoop and R for Large and Complex Data Analysis

February 16, 2011
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RHIPE: An Interface Between Hadoop and R for Large and Complex Data Analysis

RHIPE: An Interface Between Hadoop and R Presented by Saptarshi Guha About the Video: I filmed the event using LectureMaker’s live event recording technique. One special feature I add to my R video recordings is the addition of my own R source code … Continue reading

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Abusing Amazon’s Elastic MapReduce Hadoop service… easily, from R

January 10, 2011
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Abusing Amazon’s Elastic MapReduce Hadoop service… easily, from R

JD Long's experimental segue package makes it easy to use Amazon's Elastic MapReduce service to fire up a Hadoop cluster and use it for non-Big Data, computationally-intensive tasks. The package provides a cluster-aware version of lapply() which "just works".

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My Day at ACM Data Mining Camp III #DMCAMP

November 13, 2010
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My Day at ACM Data Mining Camp III #DMCAMP

My first time at ACM Data Mining Camp was so awesome, that I was thrilled the make the trip up to San Jose for the November 2010 version. In July, I gave a talk at the Emerging Technologies for Online Learning Symposium conference with a faculty member in the Department of Statistics, at the...

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Taking R to the Limit, Part II – Large Datasets in R

August 20, 2010
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Taking R to the Limit, Part II – Large Datasets in R

For Part I, Parallelism in R, click here.

Tuesday night I again had the opportunity to present on high performance computing in R, at the Los Angeles R Users’ Group. This was the second part of a two part series called “Taking R to the Limit: High Performance Computing in R.” Part II discussed ways...

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My Experience at Hadoop Summit 2010 #hadoopsummit

June 30, 2010
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My Experience at Hadoop Summit 2010 #hadoopsummit

This week I had the opportunity the trek up north to Silicon Valley to attend Yahoo’s Hadoop Summit 2010. I love Silicon Valley. The few times I’ve been there the weather was perfect (often warmer than LA), little to no traffic, no road rage and people overall seem friendly and happy. Not to mention...

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