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Comment: Classification algorithms as web service (Score 1) 70

by msbmsb (#32283552) Attached to: Google Launches a Data Prediction API
The use of the word "predict" is for ease-of-understanding for the business market and those not familiar with machine learning. Many of the comments here are getting lost in that word. The algorithms behind the API are most likely the same basic ones that have been around for a long time: naive bayes, svm, knn, etc. The actual novelty of this service is that it puts these methods in easy reach for people who otherwise wouldn't know where to start looking, or wouldn't know how to use one of the many available libraries already around, or much less implement something themselves.

See also: http://mlcomp.org/ for a service that allows you to try out different classification algorithms on your own data sets.

Comment: things holding back buzz (Score 1) 178

by msbmsb (#31186946) Attached to: Two Scoops of Buzz
At the moment, there are a number of things holding buzz back from widespread usage:

* buzz has a userbase /ceiling/: the number of gmail users; the userbase may be large but it's closed and entry is a large hurdle for many
* complicating the adoption is the number of those gmail users whose friends also use gmail and would be likely to use buzz, lowering the actual ceiling further
* when people see that not many of their friends are using it, but are/have been using other services, that makes buzz adoption difficult

there are advantages to buzz of course (mobile/geo-loc/post length/etc), but the question remains whether those advantages will eventually outweigh the challenges to more widespread adoption.

Those who educate children well are more to be honored than parents, for these only gave life, those the art of living well. -- Aristotle

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