398 search results for "market research"

Princeton vs. Facebook: modeling contagion

February 18, 2014
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Princeton vs. Facebook: modeling contagion

by James Paul Peruvankal, Senior Program Manager at Revolution Analytics Three weeks ago, researchers at Princeton released a study on Epidemiological modeling of online social network dynamics that states Facebook might lose 80% of its users by 2015-2017. Facebook data scientists hilariously debunked the study stating that Princeton itself would lose all of its students by 2021, using the...

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How to estimate the total cost of healthcare and why metal levels are useless

February 15, 2014
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How to estimate the total cost of healthcare and why metal levels are useless

This is part 2/3 in my series on healthcare costs. The analysis is driven by my own needs as an …Continue reading »

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There is no Such Thing as Biomedical "Big Data"

February 11, 2014
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There is no Such Thing as Biomedical "Big Data"

At the moment, the world is obsessed with “Big Data” yet it sometimes seems that people who use this phrase don’t have a good grasp of its meaning.  Like most good buzz-words, “Big Data” sparks the idea of something grand and complicated, while sounding ordinary enough that listeners feel like they have an intuitive understanding of the concept.  However...

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analyze the pesquisa mensal de emprego (pme) with r

February 4, 2014
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whether or not you hit the snooze button, once every month your morning radio station probably announces the latest employment statistics for the nation.  in the united states, those headlines come from the bureau of labor statistics' current popu...

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Context Matters When Modeling Human Judgment and Choice

January 28, 2014
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Context Matters When Modeling Human Judgment and Choice

Herbert Simon was succinct when he argued that judgment and choice "is shaped by a scissor whose two blades are the structure of the task environment and the computational capabilities of the actor" (Simon, 1990, p.7). As a marketing researcher, I take...

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R: Essentials

January 25, 2014
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It is quite easy to get started with R. The very first step is to download R from the official website , and install it. I suggest that you install both 32-bit and 64-bit versions for greater compatibility if you are running a 64-bit operating system. For typical statistical programming, if your dataset is not huge, it...

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Finding the R community a barrier to entry, Python looks elsewhere for lunch

January 10, 2014
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Tal Yarkoni's post on "The homogenization of scientific computing, or why Python is steadily eating other languages' lunch" is an enjoyable read of his transition from R to Python. He makes a good case, and I have no argument with his reasoning or the ...

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R vs Spreadsheets

January 8, 2014
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R vs Spreadsheets

One of the myriad of reasons we created the Data Driven Security blog was to provide pointers to data analysis and visualization resources for security domain experts who may have not been exposed to these types of tools. I’d venture a posit that most folks jump into some type of spreadsheet software whenever they get their hands on a manageable...

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Big Data Analytics predictions for 2014

December 31, 2013
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As we close out the year, we asked a few members of the Revolution Analytics team to make a few predictions about big data analytics, data science and R for 2014. Here's what they came up with (including a few from yours truly). Michele Chambers, Chief Strategy Officer and VP Product Management While the sexiest job in 2013 was...

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Latent Variable Mixture Models (LVMM): Decomposing Heterogeneity into Type and Intensity

December 19, 2013
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Adding features to a product can be costly, so brands have an incentive to include only those features most likely to increase demand. In the last two posts (first link and second link), I have recommended what could be called a "features stress t...

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