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Making the Mid-career Leap from Urban Design to Deep Learning/Data Science
Автор: Weights & Biases
Загружено: 2019-09-26
Просмотров: 5444
Описание: As an architect with a focus on urban design, Legg Yeung realized the limitations of her impact-driven work given the traditionally creative way of framing solutions. This inspired her to make a leap towards a more data driven career, going back to school at UC Berkeley’s School of Information to gain new skills with the vision of bringing more quantitative science and deep learning to the field of architecture and urban design. After working hard at developing new skills, she recently landed a resident position at Microsoft Research AI.
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