With large data sets, it can be time consuming to run gradient based optimization, for example to minimize the log-likelihood for maximum entropy models...
Wait a minute, wrong site. It seems we're having problems... Ok, I think we've got it now.
The increasing availability of voluminous training data and the desire to leverage all of this data has lead many people to investigate various strategies for distributed machine learning...
Hold on, this is still wrong... Let me try this.
The risk-takers, the doers, the makers of things, some celebrated but more often men and women obscure in their labor, who have carried us up the long, rugged path towards prosperity and freedom...
No, that's not mayhem either... Here it is.
You're beautiful. I love you. Do yoga. Get to work.
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