Over a million developers have joined DZone.

Big Data Zone: Best of the Week (Apr. 26-May 3)

DZone's Guide to

Big Data Zone: Best of the Week (Apr. 26-May 3)

· Big Data Zone
Free Resource

Need to build an application around your data? Learn more about dataflow programming for rapid development and greater creativity. 

In case you missed them, here is a curated list of of the best articles from this week's edition DZone's Big Data Zone. This is a week heavy in R! We have R-related posts about numeric keys in a nested list/dictionary, a Markov chain example using Wikipedia, and solving a locomotive problem in R with posterior probabilities for different priors. Also, growing some trees (in a mathematical sense), and how to choose a Hadoop distro [video].

1. R: Numeric Keys in the Nested List/Dictionary

Last week I described how I’ve been creating fake dictionaries in R using lists and I found myself using the same structure while solving the dice problem in Think Bayes.

2. R: Markov Chain Wikipedia Example

Over the weekend I’ve been reading about Markov Chains and I thought it’d be an interesting exercise for me to translate Wikipedia’s example into R code.

3. How to Choose a Hadoop Distro [Video]

This is my first video post. Rather than writing I simply turned on Camtasia to see how things would work out. If you are interested in a short primer on how to choose a Hadoop distro this video is for you!

4. Growing Some Trees

Consider here the dataset used in a previous post, about visualising a classification (with more than 2 features). We can change the options here, such as the minimum number of observations, per node. To visualize that classification, use the following code (to get a projection on the first two components).

5. R: Think Bayes Locomotive Problem - Posterior Probabilities for Different Priors

In my continued reading of Think Bayes the next problem to tackle is the Locomotive problem. The interesting thing about this question is that it initially seems that we don’t have enough information to come up with any sort of answer. However, we can get an estimate if we come up with a prior to work with.

Check out the Exaptive data application Studio. Technology agnostic. No glue code. Use what you know and rely on the community for what you don't. Try the community version.

bigdata ,big data ,best of the week

Opinions expressed by DZone contributors are their own.


Dev Resources & Solutions Straight to Your Inbox

Thanks for subscribing!

Awesome! Check your inbox to verify your email so you can start receiving the latest in tech news and resources.


{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}