Optimization Concepts for Data Science

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This course focuses on linear, nonlinear, and efficiency optimization concepts. You learn how to formulate optimization problems and how to make their formulations efficient by using index sets and arrays. The demonstrations in the course include examples of data envelopment analysis and portfolio optimization. The OPTMODEL procedure is used to solve optimization problems that reinforce concepts introduced in the course.

The e-learning format of this course includes Virtual Lab time to practice.

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Optimization Concepts for Data Science

Vybraný termín:


9 000 Kč + 21% DPH

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