3062 search results for "MAP"

RegEx: Named Capture in R (Round 2)

October 9, 2013
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Previously, I came up with a solution to R's less than ideal handling of named capture in regular expressions with my re.capture() function. A little more than a year later, the problem is rearing its ugly - albeit subtly different - head again. I now...

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Fast Bayesian Inference with INLA

October 9, 2013
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Fast Bayesian Inference with INLA

I am currently a research fellow and 4th year PhD candidate within the INLA group.  If you deal with Bayesian models and have never heard about INLA, I sincerely think you should spend a small portion of your time to at least know what it is. If you have heard about it before, you know how nice

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Road for Data Scientist by Swami

October 7, 2013
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Road for Data Scientist by Swami

Read away, A interesting post about skills to become Data Scientist.The post is about  Where to start? When do you start seeing light at the end of the tunnel? What is the learning roadmap? What tools and techniques do I need to know? &n...

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American Indians vs Indian Americans, statewide population using googleVis

October 7, 2013
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The population of Native Americans in the United States is estimated to be anywhere upto 20 million (http://en.wikipedia.org/wiki/Native_Americans_in_the_United_States). I wanted to find out what the population of Native Americans (originally referred to as American Indians by immigrants) is and compare it to the number of Indians from India (Indian Americans). I wanted to do this comparison by county,...

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The look of verifying data

October 7, 2013
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The look of verifying data

Get data that fit before you fit data. Why verify? Garbage in, garbage out. How to verify The example data used here is daily (adjusted) prices of stocks.  By some magic that I’m yet to fathom, market data can be wondrously wrong even without the benefit of the possibility of transcription errors.  It doesn’t seem … Continue reading...

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Topic Modeling in R

October 6, 2013
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Topic Modeling  in R

As a part of Twitter Data Analysis, So far I have completed Movie review using R & Document Classification using R. Today we will be dealing with discovering topics in Tweets, i.e. to mine the tweets data to discover underlying topics– approach known as Topic Modeling.What is Topic Modeling?A statistical approach for discovering “abstracts/topics” from...

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Crime Against Women in India – Addressing 8 Questions Using rCharts, googleVis, and shiny

October 5, 2013
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Recent crimes against women, specifically the 2012 gang rape in New Delhi of a 23 year old lady, have pushed this issue as a substantially significant one for Indians to deal with. In this post, I try to address 8 different questions regarding crime against women in India. (1). How have numbers in different types of crimes and percentage of different...

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Post 1: A Bayesian 2PL IRT model

October 4, 2013
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Post 1: A Bayesian 2PL IRT model

In this post, we define the Two-Parameter Logistic (2PL) IRT model, derive the complete conditionals that will form the basis of the sampler, and discuss our choice of prior specification. We can find the appropriate values of numerically in R … Continue reading →

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Tomorrow: R+Hadoop Webinar with Cloudera and Revolution Analytics

October 2, 2013
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If you haven't already registered, don't miss tomorrow's webinar presented by Cloudera's Director of Product Strategy, Jairam Ranganathan and Michele Chambers, Chief Strategy Officer at Revolution Analytics. This will be a great opportunity to learn how R and CDH (Cloudera's Hadoop distribution) work together with the forthcoming Revolution R Enterprise 7. Here's what they will be talking about: The...

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R PMML Support: BetteR than EveR

October 2, 2013
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R PMML Support: BetteR than EveR

How does it work? Simple! Once you build your model in R using any of the PMML supported model types, pass the model object as an input parameter to the pmml package as shown in the figure below.The pmml package offers export for a variety of model types, including:   •   ksvm (kernlab): Support Vector Machines    •   nnet: Neural Networks    •   rpart: C&RT Decision Trees    •   lm & glm (stats):...

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