The KISS principle tells us to “Keep it simple, stupid.” As machine learning techniques become more sophisticated, the need to KISS only becomes greater. This is especially true for industries that have been more hesitant to embrace data analytics. Zubin Siganporia discusses the role that simplicity plays in approaching a problem and then convincing end users to adopt data-driven solutions to their challenges.
Zubin Siganporia is the founder and CEO of QED Analytics, a consultancy specializing in mathematical modeling and machine learning. His work has involved a wide variety of industries, including cryptography, financial algorithms, genetics, and the design of strategy and training systems for world-leading sports teams and Olympic squads. Zubin is a fellow in industrial and applied mathematics at Oxford University and a lecturer and tutor in pure mathematics. He was recently voted the most outstanding tutor in Oxford across the Mathematical, Physical, Life, and Engineering Sciences departments.
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