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The choice of technique should be driven by the economic question asked, a good understanding of the economic problem to be solved, data availability, and the requirements of the decision makers who need to understand and use the economic analysis.
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DJ and I have been working together to solve data problems for years.
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Work diaries showed students sub-divided their project: problem solving, data gathering and ideation, among others.
Kalman filtering has become a powerful framework for solving data assimilation problems.
The solution is useful to solve data classification, clustering, and dimensionality reduction problems.
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Upthere's co-founder and CEO, Roger Bodamer, has a history of heavy interest in solving data computation and storage challenges in distributed networks, most notably at Oracle.
In addition, these approaches proposed to solve data sparsity fail to consider the effects of users' influences and prediction order on recommendation accuracy.
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