Monthly Archives: September 2016

deployrExternal() Nightmare

September 30, 2016
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As part of Microsoft’s acquisition of Revolution Analytics, Microsoft have turbo-boosted their newly acquired package DeployR. DeployR is a cool way for data scientists to throw their scripts into a repository, which after valid...

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Customer Segmentation Part 3: Network Visualization

September 30, 2016
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Customer Segmentation Part 3: Network Visualization

This post is the third and final part in the customer segmentation analysis. The first post focused on K-Means Clustering to segment customers into distinct groups based on purchasing habits. The second post takes a different approach, using Pricipal C...

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All the R Ladies

September 30, 2016
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All the R Ladies

Two groups are making and impact in improving the gender diversity of R users worldwide. The R-Ladies organization is creating chapters worldwide to facilitate female R programmers meeting and working together, and the Taskforce on Women in the R Community is working to improve the participation and experience of women in the R community. R has more participation by...

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One Way Analysis of Variance Exercises

September 30, 2016
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One Way Analysis of Variance Exercises

When we are interested in finding if there is a statistical difference in the mean of two groups we use the t test. When we have more than two groups we cannot use the t test, instead we have to use analysis of variance (ANOVA). In one way ANOVA we have one continuous dependent variable

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GoodReads: Machine Learning (Part 3)

September 30, 2016
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GoodReads: Machine Learning (Part 3)

In the first installment of this series, we scraped reviews from Goodreads. In the second one, we performed exploratory data analysis and created new variables. We are now ready for the “main dish”: machine learning! Setup and general data prep Let’s start by loading the libraries and our dataset. library(data.table) library(dplyr) library(caret) library(RTextTools) library(xgboost) library(ROCR) Related Post

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Danger, Caution H2O steam is very hot!!

September 30, 2016
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Danger, Caution H2O steam is very hot!!

H2O has recently released its steam AI engine, a fully open source engine that support the management and deployment of machine learning models. Both H2O on R and H2O steam are easy to set up and use. And both complement each … Continue reading →

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Visualizing Arkansas traffic fatalities, Part 2

September 30, 2016
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Visualizing Arkansas traffic fatalities, Part 2

A couple of weeks ago, I posted a map of the traffic fatalities in Arkansas in 2015. The data came from the NHTSA, and the graphic I posted was just scratching the surface. I’ve sliced the data a couple of different ways and created three more sets of visualizations about that data. For the next three posts, I’ll show...

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R+H2O for marketing campaign modeling

September 30, 2016
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My last post about telco churn prediction with R+H2O attracted unexpectedly high response. It seems that R+H2O combo has currently a very good momentum :). Therefore Wit Jakuczun decided to publish a case study that he uses in his R boot camps that is based on the same technology stack.You can find the shortened version of the case...

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Lightweight Timer Using a Closure

September 29, 2016
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Lightweight Timer Using a Closure

Your very own swiss chronograph - I am always looking for a way to speed up processing in R before giving up and porting to C++. To find bottlenecks, I used to put timing variables all over code with print...

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Build your own TensorFlow with NNVM and Torch

September 29, 2016
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Build your own TensorFlow with NNVM and Torch

TL;DR Do something fun, How about build your own TensorFlow with NNVM and Torch7 This is a new interesting era of deep learning, with emergence trend of new system, hardware and computational model. The usecase for deep learning is more heterogeneous,...

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