579 search results for "SQL"

Stepping up to Big Data with R and Python: A Mind Map of All the Packages You Will Ever Need

May 29, 2013
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Stepping up to Big Data with R and Python: A Mind Map of All the Packages You Will Ever Need

On May 8, we kicked off the transformation of R Users DC to Statistical Programming DC   (SPDC) with a meetup at iStrategyLabs in Dupont Circle. The meetup, titled “Stepping up to big data with R and Python,” was an … Continue reading →The post Stepping up to Big Data with R and Python: A Mind Map...

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Converting Existing R Scripts to ORE – Getting Started

May 28, 2013
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Converting Existing R Scripts to ORE – Getting Started

Normal 0 false false false EN-US X-NONE X-NONE ...

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Logging Data in R Loops: Applied to Twitter.

May 26, 2013
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A problem that many users face in R is storing the output from loop operations. In the case of Twitter, we may be requesting the last specified number of Tweets from a number of Twitter users. Several methods exist for … Continue reading →

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Innovation Will Never Be At The Push Of A Button

May 17, 2013
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@randyzwitch @benjamingaines @usujason I am envisioning the data science equivalent of an autonomous vehicle pileup. — Todd Belcher (@toddmetrics) May 16, 2013   Recently, I’ve been getting my blood pressure up reading (marketing) articles about “big data” and “data science”.  What saddens me about the whole discussion is that there is the underlying premise that Innovation Will Never...

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Social Network Analysis at New Frontiers in Computing 2013

May 16, 2013
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Social Network Analysis at New Frontiers in Computing 2013

by Joseph Rickert This past Saturday, the New Frontiers in Computing Conference (NFIC 2013), held at Stanford University, explored the theme: Social Network Analysis: It’s Who You Know. The speakers were a well-chosen, eclectic lot who covered a remarkable array of issues in less than a full day. Ian Hersey, former CTO of Attensity spoke on Lessons from Large-Scale...

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Computed columns for dataframes

May 8, 2013
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Computed columns for dataframes

Everyone loves to aggregate data. Everyone loves to create new columns based on other columns. Everyone hates to do the same thing twice. In my continuing work on multilevel view of loss reserving, I reached a point where I realized that I needed a robust mechanism to aggregate computed columns. SQL server and (I’m assuming)

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Monitoring des médias 2

May 6, 2013
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Monitoring des médias 2

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) Petit monitoring de notre observatoire des médias sur Twitter.Chez Mediapart : Le Monde Le Figaro Le parisien Vue globaleLe code pour réaliser ce post : To leave a comment for the author, please follow the link and comment on his blog: Learning Data Science...

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Disaggregating Annual Losses into Each Quarter

April 23, 2013
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Disaggregating Annual Losses into Each Quarter

In loss forecasting, it is often necessary to disaggregate annual losses into each quarter. The most simple method to convert low frequency to high frequency time series is interpolation, such as the one implemented in EXPAND procedure of SAS/ETS. In the example below, there is a series of annual loss projections from 2013 through 2016.

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R et Twitter

April 22, 2013
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R et Twitter

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) On va dans ce post, illustrer une utilisation simple des packages twitteR, StreamR, tm qui permettent faire du textmining. En réalité, les deux premiers permettent de récuperer les tweets et de faire des comptages simples et complexes et le dernier permet de faire du...

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Amazon AWS Summit 2013

April 18, 2013
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Amazon AWS Summit 2013

I was fortunate enough to have been able to attend the Amazon AWS Summit in NYC and to listen to Werner Vogels give the keynote.  I will share a few of my thoughts on the AWS 2013 Summit and some of my take-aways.  I attended sessions that focused on two products in particular: Redshift and

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