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of the data and the different parameters used by algorithms. Subsequently, the course will introduce different qualitative and quantitative methods to assess the quality of the results. All concepts will be
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properly, data needs to be centralized, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due
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Computer Science, and whose contributions to teaching excellence and curriculum development will have a meaningful and lasting impact in this prestigious program. Academic Expectations: The successful
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