Tags: R

The Programming Languages You Should Learn Now

Learning a programming language is not hard. In fact, if you’re experienced, you can learn the basics in under 24 hours. So if you’re in the market for a new lingua franca, such as to bolster your hirability, what you choose next might be influenced by your current language of choice. Here are the...
Read 0 Comments

Julia vs R vs Python: Simple Optimization

In this post, I will try to compare and contrast Julia, R, and Python via a simple maximum likelihood optimization problem which is motivated by a problem from the credit risk domain and is discussed in more detail in this post. TL;DR For such a simple optimization problem, R, Julia, and Python/...
Read 0 Comments

Julia vs. Python: Julia Language Rises for Data Science

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Of the many use cases Python covers, data analytics has become perhaps the biggest and most significant. The Python ecosystem is loaded with libraries, tools, and...
Read 0 Comments

Why Use Docker with R? A DevOps Perspective

There have been several blog posts going around about why one would use Docker with R. In this post I’ll try to add a DevOps point of view and explain how containerizing R is used in the context of the OpenCPU system for building and deploying R servers. Has anyone in the #rstats world written...
Read 0 Comments

Let Us Know How You Are Using R and Data Science Tools Today

The R Consortium exists to promote the R language, environment, and community. The R community has seen significant growth -- with more than 2 million users worldwide -- and a broad range of organizations have adopted the R language as a data science platform. Now, to help us understand the...
Read 0 Comments

Top Programming Languages 2017: Focus on Jobs

While the default IEEE Spectrum ranking in the Top Programming Languages interactive gives a good aggregate signal of language popularity, here we are taking a deep dive into the metrics related to job demand. Two of our data sources, Dice and CareerBuilder, measure job openings for the languages...
Read 0 Comments

Python vs. R: The Battle for Data Scientist Mind Share

The difference between Python and R is largely philosophical. One is a full-service language developed by Unix scripters that happened to be adopted by stat heads, big data junkies, and social scientists. The other is a tool for data analysis designed and built by stat heads, big data junkies, and...
Read 0 Comments

The First Steps to Analyzing Data in R

Analyzing the right data is crucial for an analytics project's success. Most of the times, data from transactional systems or other data sources such as surveys, social media, and sensors are not ready to be analyzed directly. Data has to mix and matched, massaged and preprocessed to transform it...
Read 0 Comments

Reinforcement Learning in R: An Introduction to Dynamic Programming

Reinforcement Learning is an approach to learning that attempts to maximize a cumulative reward based on a set of actions and states. The techniques are very popular within operations research and control theory. It does not fall under the traditional paradigms of supervised or unsupervised...
Read 0 Comments

New R Extension Gives Data Scientists quick Access to IBM's Watson

Data scientists have a lot of tools at their disposal, but not all of them are equally accessible. Aiming to put IBM's Watson AI within closer reach, analytics firm Columbus Collaboratory on Thursday released a new open-source R extension called CognizeR. R is an open-source language that's widely...
Read 0 Comments
Click Here!