Amazon Last-Mile Routing Research Challenge Uncovers New Research Methods on a Global Scale
MIT Supply Chain Frontiers
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The Pros and Cons of Combining Data Driven Methods With Machine Learning
We're still at the very beginning of, let's say, the use of data driven methods and machine learning methods in what is traditionally known as hardcore optimization based problems. So that's one thing that we see that we didn't really observe that many pure play machine learning solutions. And then kind of the other aspect that is new to the way we ran this project was kind of this crowd sourced approach. We expect that a lot of free research is going to come out of this in the next coming years because we're also going to make the data publicly available.
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