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Thumbnail photo for Know Thyself: Introspective Personal Data Mining | Talithia Williams | WiDS 2020

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Know Thyself: Introspective Personal Data Mining | Talithia Williams | WiDS 2020

TOPICS: Algorithms , Foundations (Mathematics/Statistics)

Thumbnail photo for Career Panel | WiDS 2020

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Career Panel | WiDS 2020

TOPICS: Algorithms , Data Science as a Career , Foundations (Mathematics/Statistics) , Values

Thumbnail photo for How Data Science Can Unlock Teaching & Learning at Scale | Emily Glassberg Sands | WiDS 2020

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How Data Science Can Unlock Teaching & Learning at Scale | Emily Glassberg Sands | WiDS 2020

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics) , Values

Thumbnail photo for Emily Glassberg Sands, Coursera | Stanford Women in Data Science (WiDS) Conference 2020

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Emily Glassberg Sands, Coursera | Stanford Women in Data Science (WiDS) Conference 2020

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)

Thumbnail photo for Newsha Ajami, Stanford University | Stanford Women in Data Science (WiDS) Conference 2020

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Newsha Ajami, Stanford University | Stanford Women in Data Science (WiDS) Conference 2020

TOPICS: Algorithms , Data Wrangling , Foundations (Mathematics/Statistics)

Thumbnail photo for Talithia Williams, Harvey Mudd College | Stanford Women in Data Science (WiDS) Conference 2020

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Talithia Williams, Harvey Mudd College | Stanford Women in Data Science (WiDS) Conference 2020

TOPICS: Data Wrangling , Foundations (Mathematics/Statistics) , Values

Thumbnail photo for Daphne Koller, insitro | Stanford Women in Data Science (WiDS) Conference 2020

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Daphne Koller, insitro | Stanford Women in Data Science (WiDS) Conference 2020

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics)

Thumbnail photo for WiDS 2020 Opening Video

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WiDS 2020 Opening Video

TOPICS:

Thumbnail photo for Global Women in Data Science (WiDS) Conference at Stanford

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Global Women in Data Science (WiDS) Conference at Stanford

TOPICS: Values