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In most American cities, that model vanished after the Second World War; by then, the blue-collar base was leaving for the suburbs and reform movements were challenging machine politics.
At the same time, diverse data types need to be analyzed in an integrative manner, leading to challenging machine learning problems on large and noisy data sets.
Nonlinear methods such as Deep Neural Networks (DNNs) are the gold standard for various challenging machine learning problems such as image recognition.
"It's a really challenging machine learning task.
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Both observatories use expensive, technologically challenging machines to answer profound physics questions.
In contrast, Mr. Donovan's Democratic rival, State Senator Eric T. Schneiderman, casts him as a member of an "ethically challenged machine whose cronies engaged in numerous corrupt activities," and of failing to aggressively pursue corruption cases as district attorney.
One small example: Glass beakers and test tubes are extremely challenging for machine vision systems.
On Tuesday, for instance, Letitia James, a City Council candidate challenging the machine in Brooklyn, beat Geoffrey Davis, the brother of the slain councilman James Davis and the choice of the Democratic Party.
And independents are lifting up those who are challenging the machine.
Toronto-based commercial cinematography company 2D House added a twist to the concept, challenging the machine to work against gravity.
Because of these inferential challenges, Machine Learning (ML) is now being used for evaluating and predicting the effectiveness of interventions in a wide range of domains from technology firms to clinical medicine and election campaigns.
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