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IBM Decision Optimization and Data Science

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Published on 07 December 2017

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IBM Form #: TIPS1357


Authors: Shirley deJonk and Fabio Tiozzo

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    Abstract

    This document introduces IBM Decision Optimization to a data science audience. The goals are to identify possible uses of IBM Decision Optimization in data science projects and demonstrate where additional value can be captured by adding an optimization step.

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    Special Notices

    The material included in this document is in DRAFT form and is provided 'as is' without warranty of any kind. IBM is not responsible for the accuracy or completeness of the material, and may update the document at any time. The final, published document may not include any, or all, of the material included herein. Client assumes all risks associated with Client's use of this document.