Using Computing Might, Google Improves Translation Tool - NYTimes.com
march 2010 by igrigorik
While many translation systems like Google’s use up to a billion words of text to create a model of a language, Google went much bigger: a few hundred billion English words. “The models become better and better the more text you process,” Mr. Och said.
google
algorithm
ml
ai
translation
march 2010 by igrigorik
Machine Learning - Who's the Boss? | Awesomeful
february 2010 by igrigorik
While supervised algorithms aim to minimize the classification error, unsupervised algorithms aim to create groups or subsets of the data where data points belonging to a cluster are as similar to each other as possible, while making the difference between the clusters as high as possible.
ml
ai
machinelearning
algorithms
february 2010 by igrigorik
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