May 6th, 2013
There is no single way to define leadership or charisma, and this Dilbert says it all.
April 29th, 2013
Here are some of the largest healthcare companies, with their Market Caps (in Billions).
April 28th, 2013
Predictive analytics is frequently used to build decision support systems or to present the items that are likely to be of interest to the users. Pandora, Netflix, Last.fm, etc are some prominent examples of predictive analytics in the consumer place. There are primarily two mechanisms to do this – (i) content based filtering, wherein we look at the internals of the item, or (ii) collaborative filtering, wherein we look at the users’ behaviors and recommend what other “similar” users are finding to be of interest. Of course we can also use a hybrid model that uses two underlying models and use a combination technique to combine the results of the models.
Recent research focus has been on building better information filtering systems (better content based filtering system or a better collaborative filtering system or a better combination model). If collaborative filtering is of interest, you can read my Computing Reviews review for More reputable recommenders give more accurate recommendations?
However, an equally important question is if we can characterize which particular model is more likely to be effective in a given system? Further, can we characterize the systems in which collaborative filtering can be simplified to use just a set of “power users”?
April 22nd, 2013
Just in case you thought English didn’t matter for you, because you are only a Java developer, think again..
// These two Java comments mean entirely different things:
// First determines whether this enrollment application is valid or not.
// First determine whether this enrollment application is valid or not