Pipelining R and Python in Notebooks

by Micheleen Harris Microsoft Data Scientist As a Data Scientist, I refuse to choose between R and Python, the top contenders currently fighting for the title of top Data Science programming language. I am not going to argue about which is better or pit Python and R against each other. Rather, I'm simply going to suggest to play to the strengths of each language and consider using them together in the same pipeline if you don't want to give up advantages of one over the other. This is not a novel concept. Both languages have packages/modules which allow for the...

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In-depth analysis of Twitter activity and sentiment, with R

Astronomer and budding data scientist Julia Silge has been using R for less than a year, but based on the posts using R on her blog has already become very proficient at using R to analyze some interesting data sets. She has posted detailed analyses of water consumption data and health care indicators from the Utah Open Data Catalog, religious affiliation data from the Association of Statisticians of American Religious Bodies, and demographic data from the American Community Survey (that's the same dataset we mentioned on Monday). In a two-part series, Julia analyzed another interesting dataset: her own archive of...

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What is better: gradient-boosted trees, or random forest?

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Better Understand Your Data in R Using Descriptive Statistics (8 recipes you can use today)

You must become intimate with your data. Any machine learning models that you build are only as good as the data that you provide them. The first step in understanding your data is to actually look at some raw values and calculate some basic statistics. In this post you will discover how you can quickly get […]

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Super Fast Crash Course in R (for developers)

As a developer you can pick-up R super fast. If you are already a developer, you don’t need to know much about a new language to be able to reading and understanding code snippets and writing your own small scripts and programs. In this post you will discover the basic syntax, data structures and control […]

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A gentle introduction to parallel computing in R

Let’s talk about the use and benefits of parallel computation in R. IBM’s Blue Gene/P massively parallel supercomputer (Wikipedia). Parallel computing is a type of computation in which many calculations are carried out simultaneously.” Wikipedia quoting: Gottlieb, Allan; Almasi, George S. (1989). Highly parallel computing The reason we care is: by making the computer work … Continue reading A gentle introduction to parallel computing in R

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El futuro del trabajo, mi presentación en el Coloquio de IDEA

Hace un par de meses me invitaron a dar una charla en el Coloquio de IDEA, el evento empresarial más importante de la Argentina. Allí se reúnen los principales ejecutivos y dirigentes de las mayores compañías del país y multinacionales. El tema que me propusieron para mi conferencia era super interesante: “El futuro del trabajo”. Y […]

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How To Use R For Machine Learning

There are a ton of packages for R. Which ones are best to use for your machine learning project? In this post you will discover the exact R functions and packages recommended for each sub task in a machine learning journey. This is useful. Bookmark this page. I’m sure you will be checking back time […]

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Microsoft R Server available free to students with DreamSpark

by Joseph Rickert Over the last 6 years, thousands of students and faculty have downloaded Revolution R Enterprise (RRE) from Revolution Analytics for free, making it possible for them to do statistical modeling on large data sets with the same R language used by savvy statisticians and data scientists in business and industry. In addition to this individual scholar program (ISP), Revolution Analytics launched two initiatives in 2014 to provide academic institutions and non-profit public service companies with site licenses for the nominal annual licensing fee of $999. Both the Academic Institution Program (AIP) and Public Service program (PSP) enabled...

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Sentiment analysis with machine learning in R

Machine learning makes sentiment analysis more convenient. This post would introduce how to do sentiment analysis with machine learning using R. In the landscape of R, the sentiment R package and the more general text mining package have been well developed by Timothy P. Jurka. You can check out the sentiment package and the fantastic […]

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Delays on the Dutch railway system

I almost never travel by train, the last time was years ago. However, recently I had to take the train from Amsterdam and it was delayed for 5 minutes. No big deal, but I was just curious how often these … Continue reading →

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A Data Science Solution to the Question "What is Data Science?"

As this flowchart from Wikipedia illustrates, data science is about collecting, cleaning, analyzing and reporting data. But is it data science or just or a "sexed up term" for Statistics (see embedded quote by Nate Silver)? It's difficult to separ...

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Video Course: Data Science with Microsoft Azure and R

If you want to get started doing data science with R in the cloud, a good place to start is Stephen Elston's free O'Reilly report, Data Science in the Cloud with Azure ML and R. But if you learn better with a show-and-tell approach, he now also has an O'Reilly Video Training course, Data Science with Microsoft Azure and R. The first part of the course is free, and includes an overview of Azure ML Studio (the browser-based drag-and-drop data science workflow tool), using the built-in data import, manipulation, and modeling modules in Azure ML, and using the Execute R...

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