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Thumbnail photo for Graph Theory for Data Science, Part II: Graph Algorithms: Traversing the tree and beyond

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Graph Theory for Data Science, Part II: Graph Algorithms: Traversing the tree and beyond

TOPICS: Algorithms , Data Generation/Collection , Software Design and Engineering

Thumbnail photo for Natural Language Processing | Riyanka Bhowal, Walmart

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Natural Language Processing | Riyanka Bhowal, Walmart

TOPICS: Algorithms , Data Generation/Collection , Foundations (Mathematics/Statistics) , Software Design and Engineering , Values

Thumbnail photo for Hands On Deep Learning and IoT Workshop | Mathworks

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Hands On Deep Learning and IoT Workshop | Mathworks

TOPICS: Algorithms , Hardware , Software Design and Engineering

Thumbnail photo for WiDS Honors Juneteenth 2021

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WiDS Honors Juneteenth 2021

TOPICS: Values

Thumbnail photo for WiDS Africa Co-Ambassador Teaches Data Science to Empower Women and Girls Across Africa

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WiDS Africa Co-Ambassador Teaches Data Science to Empower Women and Girls Across Africa

TOPICS: Data Science as a Career

Thumbnail photo for Covering AI and ethics washing in the tech industry with Karen Hao

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Covering AI and ethics washing in the tech industry with Karen Hao

TOPICS: Data Science as a Career , Values

Thumbnail photo for Using Natural Language Processing to Analyze US History Textbooks

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Using Natural Language Processing to Analyze US History Textbooks

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

Thumbnail photo for Pocket AI and loT, or How to be a Data Scientist using your Mobile Device | Mathworks

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Pocket AI and loT, or How to be a Data Scientist using your Mobile Device | Mathworks

TOPICS: Algorithms , Data Generation/Collection , Foundations (Mathematics/Statistics) , Hardware , Software Design and Engineering , Values

Thumbnail photo for Graph Theory for Data Science, Part I: What is a graph and What Can We Do With It?

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Graph Theory for Data Science, Part I: What is a graph and What Can We Do With It?

TOPICS: Algorithms , Data Wrangling , Software Design and Engineering