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June 2013 Blog Posts (28)

How to detect three types of hidden data, to eliminate opportunity costs

Your data is like Gruyere. It has holes. Big holes, sometimes the empty space occupies a bigger volume than the data itself - just like dark matter is more abundant than visible matter in the universe. This article is not about shallow or sparse data, but instead about data that you do not see, that you do not know even exist, and yet, data that contains better actionable nuggets than anything in your…

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Added by Vincent Granville on June 10, 2013 at 1:00pm — 1 Comment

Data scientists dictate what we eat

Indirectly of course. There are other factors too, such as regulations which make it illegal to sell un-pasteurized milk, horse meat, foie gras, etc., but the biggest factor influencing what the average American eats is the margin the grocery store makes on the products it sells. This explains why you can't get redcurrants or passion fruits anymore, but you'll find plenty of high energy drinks and food rich in sugar…

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Added by Mirko Krivanek on June 8, 2013 at 12:00pm — 2 Comments

Predictive Modeling is Useless!

If you’re a modeler, you might say, “who the heck is this guy telling me that my precious thing is useless?” Wait a minute. I will explain later. If you’re new to this, let me tell you what predictive modeling is: It is the power to predict the future. Like a prophecy, except its using data, lots of them. Sounds cool? Yes, but it’s useless. Sad? Me too. I’m also a modeler.



Let me tell you a story. Once upon a time, I was preaching in front of senior management on how we could get… Continue

Added by Eka Aulia on June 6, 2013 at 10:05pm — 1 Comment

Data Scientists Sometimes Fool Themselves

The easiest person in the world to fool is yourself. Data scientists sometimes fool themselves - in matters trivial and important. Thus, I strongly suggest that we acknowledge real or subconscious biases in ourselves, the data, the analysis and group think. It is prudent for data science teams to have…

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Added by Michael Walker on June 6, 2013 at 12:11pm — No Comments

SAS Dominates Analytics Job Market?

Bob Muenchen's very useful work on this topic, SAS Dominates Analytics Job Market; R up 42% sent me back to some 2012 work we did at Statistics.com on the subject of what employers are looking for in the way of analytics skills.  First, our main results:

1.  Our numbers showed a much less SAS-dominant world:  1.92 SAS jobs for every R job.  Bob had found the ratio to…

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Added by Peter Bruce on June 6, 2013 at 10:15am — 6 Comments

Join the Data Science Revolution with Alpine

Recently named by Business Insider as one of the Big Data startups to watch, Alpine Data Labs is experiencing massive growth and is currently on a hiring spree, looking for top talent. Alpine is hiring solution architects, software engineers, data scientists, marketing & sales pros, and technical support engineers. Send your resume and a note to [email protected]

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Added by Vincent Granville on June 6, 2013 at 9:30am — 4 Comments

3 min Healthcare Big Data Video

We have tried to synthesize the most disruptive big data use cases into a compact . 3 Minute video

at https://www.youtube.com/watch?v=UWPUxLr-u9k

 

It covers 6 use cases , 4 healthcare data streams and hopefully sets the stage for curating more use cases in an area which truly needs a lot of healthy transformations !!!

Added by derick.jose on June 5, 2013 at 10:20am — No Comments

Job titles for data scientists

I looked at the job titles of my 7,500 LinkedIn connections, and found about 4,900 unique job titles. The vast majority of my connections work in data science or some analytic field. Some very popular job titles do not contain an analytic keyword: for instance CEO, Consultant, Founder. My own job titles - Co-Founder, Managing Partner - fall in this category despite the fact that among other things and foremost, I am…

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Added by Vincent Granville on June 3, 2013 at 9:00pm — 11 Comments

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