569 search results for "register"

Putting the R in Cloudera and Hortonworks Hadoop

September 16, 2013
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Datanami interviews Revolution Analytics' Bill Jacobs about the upcoming Revolution R Enterprise 7, which will be available later this year. A key feature of this release is that that the big-data predictive analytics R functions in the ScaleR package will run on data situated in a Hadoop cluster, and use the parallel computational power of the Hadoop nodes for...

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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #6)

September 13, 2013
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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #6)

A reposted item of news about MCMSki IV: as posted by Brad Carlin this afternoon to the Biometrics Section and Bayesian Statistical Science Section of the ASA, The fifth joint international meeting of the IMS (Institute of Mathematical Statistics) and ISBA (International Society for Bayesian Analysis), nicknamed “MCMSki IV”, will be held in Chamonix Mont-Blanc,

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Learn R and/or Data Management from Home October 7-11

September 11, 2013
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Learn R and/or Data Management from Home October 7-11

If you want to learn R, or improve your current R skills, join me for two workshops that I’m offering through Revolution Analytics in October. If you already know another analytics package, the workshop, Intro to R for SAS, SPSS … Continue reading →

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Online course on forecasting using R

September 10, 2013
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I am teaming up with Revolution Analytics to teach an online course on forecasting with R. Topics to be covered include seasonality and trends, exponential smoothing, ARIMA modelling, dynamic regression and state space models, as well as forecast accuracy methods and forecast evaluation techniques such as cross-validation. I will talk about some of my consulting experiences, and explain the...

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Coursera’s free R courses are running again soon

September 10, 2013
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The massively-online open course (MOOC) platform Coursera has already delivered two essential free courses for anyone who wants to learn the R language. Computing for Data Analysis, presented by Roger Peng, covers the basics of R programming. The follow-up course Data Analysis, presented by Jeff Leek, covers statistical modeling and data visualization with R. If you missed these courses,...

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Accessing FitBit data in R

September 9, 2013
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Accessing FitBit data in R

I caught a pretty amazing episode of Horizon (the BBC’s in depth science program in the UK) a while back called “The future of medicine is apps“. The programme explored the health benefits of giving people data about their body, … Continue reading →

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Ce que je sais sur les séries temporelles (1/5)

September 9, 2013
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Ce que je sais sur les séries temporelles (1/5)

Ce que je sais sur les séries temporelles (1/5) En lisant la préface de Flore Vasseur à l'essai “le monde en 2030 vu par la CIA”, j'ai été très frappé par mon manque de culture macroéconomique. En effet, un essaiqui parle de...

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Sentiment Analysis on Twitter with Datumbox API

September 9, 2013
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Sentiment Analysis on Twitter with Datumbox API

Hey there! After my post about sentiment analysis using the Viralheat API I found another service. Datumbox ist offering special sentiment analysis for Twitter. But this API doesn´t just offer sentiment analysis, it offers a much more detailed analysis. „The currently supported API functions are: Sentiment Analysis, Twitter Sentiment Analysis, Subjectivity Analysis, Topic Classification, Spam …

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Using Arial in R figures destined for PLOS ONE

September 9, 2013
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Despite the refreshing change that the journal PLOS ONE represents in terms of open access and an refreshing change to the stupidity that is quality/novelty selection by the two or three people that review a paper, it’s submission requirements are far less progressive. Yes they make you jump through a lot of hoops getting your figures and...

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The Problem with Percentiles

September 8, 2013
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The Problem with Percentiles

The Problem with Percentiles Percentiles (or, more accurately, quantiles) are deeply embedded in the psyche of actuaries, statisticians and similar beasts. They are referred to implicitly in the Solvency 2 directive (Article 100, Value at Risk) without explanation. They are so ingrained...

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