306 search results for "hadoop"

Nine lightning talks on R

October 12, 2012
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At Tuesday's Bay Area R User Group meetup, nine speakers gave five-minute talks on various aspects of R. Revolution Analytics' Luba Gloukhov was one of the presenters, and also provides the summary of the talks below. Links to the slides are included where available for you to check out. Ariel Faigon: Chrestomathy with R Ariel walked us through his...

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Revolution Newsletter: September/October 2012

October 11, 2012
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full September/October edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. New R Courses Announced: Two new courses presented by Bob Muenchen (author of R...

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Product revenue prediction with R – part 2

October 8, 2012
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Product revenue prediction with R – part 2

After development of predictive model for transactional product revenue -(Product revenue prediction with R – part 1), we can further improvise the model prediction by modifications in the model. In this post, we will see what are the steps required for model improvement. With the help of a set of model summary parameters, the data

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Product revenue prediction with R – part 3

October 8, 2012
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Product revenue prediction with R – part 3

After development and improvement  of predictive model with R (as in the previous blog), I have focused here about making a prediction with the R model ( linear regression model ) and comparison with the Google prediction API model. In statistical modeling, R will calculate intercept and variable coefficients to describe the relationship between a

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Product revenue prediction with R – part 1

October 8, 2012
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Product revenue prediction with R – part 1

In my upcoming three blogs, I am going to discuss about how Product managers, Data analyst and Data scientists can develop model for the prediction of the transactional product revenue on the basis of user actions like total numbers of time product added to the cart, total numbers of time product added to the cart,

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Tips on accessing data from various sources with R

October 3, 2012
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Jeffrey Breen (the man behind the Twitter airline sentiment analysis example) recently posted a collection of slides with some great tips for accessing data from R. "Tapping the Data Deluge" includes information on: Using the XLConnect package to read data from Excel spreadsheets Using the foreign package to read SPSS, SAS, Stata and dBase data files Using SQL queries...

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Oracle R Enterprise Tutorial Series on Oracle Learning Library

October 2, 2012
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Oracle Server Technologies Curriculum has just released the Oracle R Enterprise Tutorial Series, which is publicly available on Oracle Learning Library (OLL). This 8 part interactive lecture series with review sessions covers Oracle R Enterprise ...

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Predict Bounce Rate based on Page Load Time in Google Analytics

September 26, 2012
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Predict Bounce Rate based on Page Load Time in Google Analytics

Welcome to the second part. In the last blog post on Linear Regression with R, we have discussed about what is regression? and how it is used ? Now we will apply that learning on a specific problem of prediction. In this post, I will create a basic model to predict bounce rate as function

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Linear Regression using R

September 26, 2012
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Linear Regression using R

Regression Through this post I am going to explain How Linear Regression works? Let us start with what is regression and how it works? Regression is widely used for prediction and forecasting in field of machine learning. Focus of regression is on the relationship between dependent and one or more independent variables. The “dependent variable”

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The PMML Revolution: Predictive analytics at the speed of business

September 19, 2012
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The PMML Revolution: Predictive analytics at the speed of business

This guest post is by Alex Guazzelli, VP of Analytics at Zementis Inc. -- ed. PMML, the Predictive Model Markup Language, is the de facto standard to represent predictive analytics and data mining models. With PMML, it is extremely easy to move a predictive solution from one system to another, since it avoids proprietary issues and incompatibilities. Companies around...

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