ML ain’t your only hammer: adding mathematical optimisation to the data scientist’s toolbox

(Dr Jack Simpson) The purpose of this presentation is to introduce the audience to the field of mathematical optimisation - what it is, how it differs from machine learning, and the types of problems it is best suited to solve.
The first section will provide this context and background - describing the anatomy of an optimisation problem, and what the model building process looks like. We will touch on the characteristics common to optimisation problems seen across multiple industries.
We will then build a simple optimisation model together, demonstrating how the model building process compares to the machine learning approach.
Finally, we will end by exploring some of the most fascinating applications of mathematical optimisation in industry, focussing on the characteristics that the audience can map to challenges that are specific to their own industry.
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Sat Nov 23 12:00:00 2024 at Eureka 2