A Markov Chain is a random process, where we assume the previous state(s) hold sufficient predictive power in predicting the next state. Unlike flipping a coin, these events are dependent. It’s easier to understand through an example.…
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NASA is using big data to make complex knowledge more readily available. Learn how graph visualization can help turn large corpus of documents into concrete insights.
Even in a mature and knowledge-driven organization like NASA, finding an answer to a common business issue can be frustrating. Past surveys at NASA have shown that most people have trouble finding the…
ContinueAdded by Jean Villedieu on August 31, 2015 at 7:14am — No Comments
Added by Athena Infonomics on August 31, 2015 at 12:00am — No Comments
Here are some of the new entries featured in our upcoming Monday digest. They were posted today.
Also, we have two upcoming events:
Featured articles posted today (selection)…
ContinueAdded by Vincent Granville on August 28, 2015 at 1:00pm — No Comments
The list was originally published here. Another list that includes the ugly pie chart below can be found here. Finally, this article tried to convince you to to use pie charts,…
ContinueAdded by Decision Science on August 27, 2015 at 12:00pm — No Comments
Brick and mortar retailers invest a lot in environmental factors. Lighting, temperature, music, and even how the items are spaced on a shelf are known to affect purchase decisions.
But online, environmental factors do not affect buyers, right?
Wrong.
Very, very wrong, according to website optimization studies that prove otherwise. In fact, environmental elements affect web visitors as much as their offline counterparts. The only difference is the type of…
ContinueAdded by Efrat Ravid on August 26, 2015 at 10:30am — No Comments
In this particular guest attribute, Eric Haller of the worldwide DataLabs of Experian offers his views on the growing need for information scientists. Info laboratories are led by him in Brazil, UK & america that support development & research initiatives throughout the Experian business. Eric had tactical markets including retail banking, authorities, capital markets and web delivery in addition to responsibility for the direction and increase of on-line credit profiles for Consumer…
ContinueAdded by Nikhil Sharma on August 25, 2015 at 2:30pm — No Comments
All businesses that own/control websites, blogs and web and/or mobile applications know the importance of having web analytics tracking code. Nonetheless, the implementation of said systems is more complex than most imagine it to be, leading to major and minor flaws in the instrumentation of the sites and applications as a result.
The explosion of…
ContinueAdded by Jack Dowson on August 24, 2015 at 4:30am — 1 Comment
Most people (including myself) are drawn to Julia by its lofty goals. Speed of C, statistical packages of R, and ease of Python?—it sounds two good to be true. However, I haven't seen anyone who has looked into it say the developers behind the language aren't on track to accomplish these goals.…
ContinueAdded by Alex Woods on August 23, 2015 at 4:30pm — No Comments
Enjoy this great Friday reading!
Added by Vincent Granville on August 21, 2015 at 1:00pm — No Comments
Added by Sheldon Smith on August 19, 2015 at 2:43pm — No Comments
I wrote a series of blog posts on Bayesian modeling with R and Stan.
Added by Takashi J. OZAKI on August 17, 2015 at 11:14pm — No Comments
A market basket analysis or recommendation engine [1] is what is behind all these recommendations we get when we go shopping online or whenever we receive targeted advertising. The underlying engine collects information about people’s habits and knows that if people buy pasta and wine, they are usually also interested in pasta sauces. So, the next time you go to the supermarket and buy pasta and wine, be ready to get a recommendation for some pasta sauce!
A typical analysis goal…
Added by Rosaria Silipo on August 12, 2015 at 12:34am — 2 Comments
A Markov Chain is a random process, where we assume the previous state(s) hold sufficient predictive power in predicting the next state. Unlike flipping a coin, these events are dependent. It’s easier to understand through an example.…
Added by Alex Woods on August 4, 2015 at 8:00pm — No Comments
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