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Photo of Professor Tamara Broderick

January 27, 2023

When should data scientists try a new technique?

If a scientist wanted to forecast ocean currents to understand how pollution travels after an oil spill, she could use a common approach that looks at currents traveling between 10 and 200 kilometers. Or, she could choose a newer model that also includes shorter currents.

January 23, 2023

What is synthetic data - and how can it help you competitively?

Brian Eastwood I Sloan School of Management (Original Article)

January 8, 2023

Unpacking the “black box” to build better AI models

When deep learning models are deployed in the real world, perhaps to detect financial fraud from credit card activity or identify cancer in medical images, they are often able to outperform humans.

November 23, 2022

A far-sighted approach to machine learning

Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other players with conflicting interests. That’s how the game works.

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