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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 →

@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...

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...

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)

(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 globale Le code pour réaliser ce post : To leave a comment for the author, please follow the link and comment on their blog: Learning...

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.

(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...

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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