Google TensorFlow

Google open sourced TensorFlow (TF), a distributed machine learning library, in November.  The basic idea is that, you build your ML process into a graph and let TF handle the running and distribution of the work between cores. Be it cores in your CPU or GPU, TF has you covered. The dataflow graph works much... Continue Reading →

R Workshop Documentation (Updated)

I have been working on the upcoming R workshop for a few weeks now. Finally I am ready to publish part of the material in the spirit of open source, so that others can benefit from, and improve upon my material. I uploaded all the materials to my github repository. There are a few documents... Continue Reading →

World Map Visualizations Based on Data in R

I am working on a workshop for Business Analytics masters students. Part of the demos I intend to use are geographical visualizations. I am using rworldmap package to achieve these. Let us say you have geographical data in a data.frame such as country, with country identifiers stored in "ip_iso2" column in ISO2 format and the... Continue Reading →

AWS Educate For Teaching and Research

I was pleasantly surprised to find out that Arizona State University was a member of AWS educate, more so since my year of free trial ran out last month and I just payed my first bill for the Amazon instance I use for data collection. Amazon Web Services provides an easy to deploy, easy to... Continue Reading →

Working with Big Data in R

This year has been crazy in terms of data I use for my analysis. Frequently the traditional methods I use in R would fail to allocate enough memory for the task at hand. Luckily, R has great support for such tasks. I will note down a few package names that have served me well lately... Continue Reading →

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