566 search results for "SQL"

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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CrossFit weights: gender matters less than you’d think

April 17, 2013
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CrossFit weights: gender matters less than you’d think

Exploring Gaussian Mixture Models Exploring Gaussian Mixture Models This week in the Empirical Research Methods course, we've been talking a lot about measurement error. The idea of having some latent variable of interest, coupled with 'flawed' measures reminded me of a section of Cosma's course I really enjoyed, but haven't gotten a change to go...

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Mind Reading… What are our customers thinking?

April 17, 2013
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Normal 0 false false false EN-US X-NONE X-NONE ...

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Tip: Julia vs. R – introduction videos and more

April 14, 2013
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Last years UseR 2012 conference in Nashville had an interesting discussion session titled “What other languages should R users know about?“. General consensus was that multilingualism is inevitable in modern computing, and panel members presented various languages that complement R in different ways. Some of the usual suspects included SQL, python, and of course C++, ...

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