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Dear Analytic Professionals:

There is no longer a question about the importance of analytics -- the real question is why…

Yet another article about the same issue (lack of talent) that has been dicussed at lengths over the last months, see http://online.wsj.com/article/SB10001424052702304723304577365700368073674.html

Here's my…

Two university professors let the public take their artificial intelligence course online, for free. Then 160,000 students sihned up. Now the plan is to changer higher learning forever.…

The Steinmetz barn housed GE's first laboratory

General Electric’s (GE)first research laboratory was housed in a barn in upstate New York; its newest is going up in Silicon Valley. In a vivid illustration of how the locus of U.S.…

ILAC International Conference 2012 with the theme of “Cultural and Linguistic Diversity in ASEAN” announces its call for papers and attendees. The conference will be held on 22-23 August 2012 at Suan…

In this article, we review two, intertwined tools in the data mining arsenal: correlation and scatter plots.  These tools are fundamental for gauging the relationship (if any) between pairs of data elements (say, the age and income of your customers).  As we’ll soon see, there are good, bad, and ugly things that can happen when we apply a purely computational method like correlation.  My goal is to help you avoid the usual pitfalls, so  you can use correlation and scatter plots effectively…

Connecting executives



Executives spend a lot of times in airports and places around the world. One way to optimize the time spent is to know which important contacts (e.g. a hot sales lead) is in the same airport at the same time, or in the same city at the same time, to set up a meeting and leverage time that…

By Troy Sadkowsky, April 20, 2012



Takeaway: The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job, and his tips for success in the field.…

Sometime today, shares of the data analysis company Splunk will start trading on the Nasdaq National Market in New York, after pricing last night at $17 a share. The company’s offering has raised about $230 million.

Splunk…

Companies hiring analytic talent have been complaining for a few years about how hard it is to find good data scientist. Our analysis of job board data (based on Indeed, Datashaping and Analyticbridge statistics) reveals that a job ad specifying two possible locations - e.g. San Francisco, CA or Boston, MA - generates on average 5 times more page views, than a job ad targeting a single…

"Some assembly required."

You may cringe when reading those words as it might remind you of a time when the excitement and anticipation of opening a shiny new gift was dulled by the realization the fine print says "some assembly required."

Whether it's a backyard swing set, bike or new furniture, there probably has been a time when you -or your parents- spent time assembling gifts, buying batteries or otherwise taking time to manually put together a product to…

Outside the traditional business analytics / BI fields.

1. Algorithms and Numerical Techniques
2. Application Design and Porting Techniques…

By Michael Eisen | April 8, 2012

What is the best way to rank statisticians? When you do find the best of a batch, are they, on average, out of the ordinary?

Kaggle, which conducts pattern-finding competitions among data scientists, has started ranking its top performers. A somewhat less than scientific analysis — talking…

• Faces of Deloitte Analytics - http://www.analyticbridge.com/group/faces-of-analytics-and-data-science/forum/topics/faces-of-deloitte-analytics…

While I was writing the last post I was wondering how long before my followers notice the mistakes I introduced in the experiments.

Let's start the treasure hunt!

1. Don't always trust your data: often they are not homogeneous.

...click here to read the entire post

A good data miner must always check his dataset! you should always ask to yourself whether the data have been produced in a…

In the data mining process, where do data scientists like you and me add the most value?  Is it in exploring the data, uncovering anomalies and seeing relationships between elements?  In selecting transformations for the elements to improve their representations for modeling…