John A. Lynch Lecture Series: Machine Learning in Science: Making sense of increasingly complex data

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Location: 105 Jordan Hall of Science

David Dunson, Ph.D., Arts and Sciences Distinguished Professor at Duke University, will discuss machine-learning algorithms for advancements such as voice recognition and self-driving vehicles. Dunson will share where machine-learning algorithms work well and where they fail, requiring a human approach that takes our brain structure and human traits into consideration.

Dunson specializes in Bayesian statistical and data science methods. His work involves interdisciplinary thinking at the intersection of statistics, mathematics, and computer science, and can be applied to everything from epidemiology to fine arts.

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