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How to call Cognitive Services APIs with R

November 16, 2016
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Microsoft Cognitive Services is a set of cloud-based machine-intelligence APIs that you can use to extract structured data from complex sources (unstructured text, images, video and audio), and add "AI" type features to applications. A good example is the "Seeing AI" glasses in the video below: the image descriptions, emotion inference, and text recognition are all driven by Cognitive...

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The 5 most downloaded R packages

November 15, 2016
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The 5 most downloaded R packages

Curious which R packages your colleagues and the rest of the R community are using? Thanks to Rdocumentation.org you can now see for yourself! Rdocumentation.org aggregates R documentation and download information from popular repositories like CRAN, B...

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Using tidytext to make sentiment analysis easy

November 15, 2016
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Using tidytext to make sentiment analysis easy

Last week I discovered the R package tidytext and its very nice e-book detailing usage. Julia Silge and David Robinson have significantly reduced the effort it takes for me to “grok” text mining by making it “tidy.” It certainly helped that a lot of the...

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SAS to R Migration for Financial Data: Lessons and Examples

November 14, 2016
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SAS to R Migration for Financial Data: Lessons and Examples

by Lixun Zhang (Data Scientist), Ye Xing (Senior Data Scientist) and Tao Wu (Principal Data Scientist Manager), all at Microsoft Editor's Note: To learn more about migrating from SAS to R, there will be a live webinar presented by Lixun and Ye tomorrow (Tuesday, November 15). Register to attend the webinar here. R has been gaining in popularity among...

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Easy Cross Validation in R with `modelr`

November 11, 2016
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When estimating a model, the quality of the model fit will always be higher in-sample than out-of-sample. A model will always fit the data that it is trained on, warts and all, and may use those warts and statistical noise to make predictions. As...

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An overview of text mining visualisations possibilities with R on the CETA trade agreement

An overview of text mining visualisations possibilities with R on the CETA trade agreement

Text Mining has become quite mainstream nowadays as the tools to make a reasonable text analysis are ready to be exploited and give astoundingly nice and reasonable results. At BNOSAC, we use it mainly for text mining on call center data, poetry, salesforce data, emails, HR reviews, IT logged tickets, customer reviews, survey feedback and many more. We also...

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Parallel Vectorized Operations

November 7, 2016
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Parallel Vectorized Operations

After using R for a few years people come to realize how inefficient loops are (in all languages), even after pre-allocating memory. Then you begin to use the apply functions and revel at their speed. However, once you have datasets > 10-15 million the apply family can begin to creep along (relative to the amount Related Post

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Timeseries forecasting using extreme gradient boosting

November 5, 2016
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Timeseries forecasting using extreme gradient boosting

In the last few years there have been more attempts at a fresh approach to statistical timeseries forecasting using the increasingly accessible tools of machine learning. This means methods like neural networks and extreme gradient boosting, as supple...

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Fastest Way to Add New Variables to A Large Data.Frame

October 30, 2016
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Fastest Way to Add New Variables to A Large Data.Frame

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Join Hadley Wickham’s Master R Workshop in Melbourne, Australia December 12 & 13

October 28, 2016
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Join Hadley Wickham’s Master R Workshop in Melbourne, Australia December 12 & 13

It’s nearly summeRtime in Australia! Join RStudio Chief Data Scientist Hadley Wickham for his popular Master R workshop in Melbourne. Register here:  https://www.eventbrite.com/e/master-r-developer-workshop-melbourne-tickets-22546200292 Melbourne will be Hadley’s first and only scheduled Master R workshop in Australia. Whether you live or work nearby or you just need one more good reason to visit Melbourne in the

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