How the Bureau of Labor Statistics Analyzes Data by Brian McDonough via @infomgmt

In an era of big data, the bureau increasingly relies on the Internet, databases and analytics to produce the reports that government officials and business leaders use to gauge the health of the economy and labor force.

Really interesting and good to understand the process they follow.  Please note this is a 2 page article.

Moving from R to Python: The Libraries You Need to Know via @YhatHQ

Here are some libraries you need to know.

Great blog - I've used this a couple of times to help me to remember the right names for the right tool as I had started to confuse myself (not hard specially when writing code)

Everything Must Go: What Happens to Data After a Business Closes? by Richard Stiennon via @infomgmt

When closing the doors for good - whether it’s for strategic, economic or other reasons - auctioning off IP is just one direction that valuable company data can head in.

I guess I had never thought to stop and think about what has happened to my data when a store shuts down for whatever reason.  You trust it to be handed correctly but do you really know what has happened to it and how safe it is?

Data Mining Tip: How to Use High-cardinality Attributes in a Predictive Model by Julie Moeyersoms and David Martens via @kdnuggets

High-cardinality nominal attributes can pose an issue for inclusion in predictive models. There exist a few ways to accomplish this, however, which are put forward here.

This is useful and is a summarisation of what goes on in my head when doing this kind of model.

A Tutorial on the Expectation Maximisation (EM) Algorithm by Elena Sharova via @kdnuggets

This is a short tutorial on the Expectation Maximisation algorithm and how it can be used on estimating parameters for multi-variate data.

I like this tutorial and it is very useful to save and refer back to.

How Convolutional Neural Networks Work by Brandon Rohrer via @kdnuggets

Get an overview of what is going on inside convolutional neural networks, and what it is that makes them so effective.

This is very clear and easy to understand. It is a two page article.

Maybe Blockchain Really Does Have Magical Powers by Eaine Qu via @infomgmt

The cryptographic process of entering and verifying new information automatically reconciles all the copies. As a result, everyone always knows who owns what.

The whole process seems so obvious and maybe it was being done my others already, but as this article says, at least it is out in the open as a valid solution.