September 2016

deployrExternal() Nightmare

September 30, 2016 | Dan Thompson

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... [Read more...]

All the R Ladies

September 30, 2016 | David Smith

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 ... [Read more...]

One Way Analysis of Variance Exercises

September 30, 2016 | Sammy Ngugi

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 ... [Read more...]

GoodReads: Machine Learning (Part 3)

September 30, 2016 | Florent Buisson

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. ... [Read more...]

Creating plots with ggplot2 in IB Mathematics Year II

September 30, 2016 | Kevin

My year II IB Mathematics class is going very well this year. Our hard work last year is starting to pay off in that we know how to use ggplot2, dplyr and now R Markdown. The students will complete their Internal assessment, which is a large research report, by the ... [Read more...]

Danger, Caution H2O steam is very hot!!

September 30, 2016 | Longhow Lam

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 →
[Read more...]

Visualizing Arkansas traffic fatalities, Part 2

September 30, 2016 | Nathan

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 ... [Read more...]

R+H2O for marketing campaign modeling

September 30, 2016 | Bogumił Kamiński

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 ... [Read more...]

Lightweight Timer Using a Closure

September 29, 2016 | R-SquareD

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 statements. When I di...
[Read more...]

Build your own TensorFlow with NNVM and Torch

September 29, 2016 | DMLC

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,... [Read more...]

Build your own TensorFlow with NNVM and Torch

September 29, 2016 | DMLC

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,...
[Read more...]

Visualizing Arkansas traffic fatalities, Part 2

September 29, 2016 | Nathan Chaney

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 ...
[Read more...]

Watch: Highlights of the Microsoft Data Science Summit

September 29, 2016 | David Smith

I just got back from Atlanta, the host of the Microsoft Machine Learning and Data Science Summit. This was the first year for this new conference, and it was a blast: the energy from the 1,000 attendees was palpable. I covered Joseph Sirosh's keynote presentation yesterday, but today I wanted to ... [Read more...]

Simplify polygons without creating slithers

September 29, 2016 | philmikejones

When simplifying polygons it’s almost inevitable that you will generate some slither polygons or gaps between the correct polygons. For example, the following image shows two adjoining complex polygons, representing two adjoining administrative areas. Note there are no gaps between the polygons; they are contiguous (the border is between ... [Read more...]

The network plot of Mutations

September 29, 2016 | SB

In a pet project, I created a network plot in R, to represent mutations and how combinations improved or worsened a mutation. I have tried to document the way I approached this whole problem in this post.InputFirst let's look at the input data.An excel sheet with a column ...
[Read more...]

Scatterplot Me

September 28, 2016 | R-SquareD

Plot the data within a png for fun - Just for fun, I took my avatar image and plotted the png data into a scatterplot. It was relatively easy to do using the png package. library(dplyr) library(tidyr) library(ggplot2) library(...
[Read more...]

gcbd 0.2.6

September 28, 2016 | Thinking inside the box

A pure maintenance release 0.2.6 of the gcbd package is now on CRAN. The gcbd proposes a benchmarking framework for LAPACK and BLAS operations (as the library can exchanged in a plug-and-play sense on suitable OSs) and records result in local databas... [Read more...]
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