دانلود کتاب عناصر یادگیری مشترک و بهینه سازی در مدیریت عملیات

The last decade has seen an explosion of research at the intersection of operations research and machine learning. While the classical operations research has focused largely on optimizing the system under the assumption of known dynamics and known parameters, in reality, the “known” are typically unknown and need to be estimated from the continuously generated data. The later gives rise to the problem of joint learning and optimization, which is one of the core research topics in the machine learning community. However, while the machine learning community has largely focused on solving problems that are directly relevant for computer science applications, the operations research community has its own long list of problems that are not typically considered in the context of joint learning and optimization. This presents a wonderful opportunity for combining operations research and machine learning techniques to solve some of the most fundamental analytic problems.