Thursday: Scalable Cross-Platform R-Based Predictive Analytics

December 11, 2013
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

Tomorrow at 11AM Pacific Time, Revolution Analytics' Chief Scientist Mario Inchiosa will present a live webinar on Scalable Cross-Platform R-Based Predictive Analytics. Here's the abstract:

In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and histograms.

Using the knowledge gleaned from data exploration, we will create transformations to clean our data and prepare it for model building. Next, we will establish a prediction baseline by performing linear regression.

Then we will apply a state-of-the-art black box algorithm, Ensembles of Decision Trees, to push prediction to the limit. Finally, we will use this high quality ensemble model to score new data, completing the prediction workflow.

We will discover how to perform these steps scalably using an R-based tool across a wide range of platforms: Windows and Linux laptops and workstations, multicore servers, Hadoop and MPI clusters, and massively parallel databases.

To attend the live webinar hosted by BrightTalk, follow the link below at 11AM Pacific Time on December 12, 2014.

BrightTalk: Scalable Cross-Platform R-Based Predictive Analytics

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