Skip to main content

Get Inspired | Search

  • Media Type

  • Language

  • Topic(s)

  • Sort By


Thumbnail photo for Data science in FinTech and financial services, Menglin Cao

blog

Data science in FinTech and financial services, Menglin Cao

TOPICS: Data Science as a Career , Domains

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

video

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 Hands On Deep Learning and IoT Workshop | Mathworks

video

Hands On Deep Learning and IoT Workshop | Mathworks

TOPICS: Algorithms , Hardware , Software Design and Engineering

Thumbnail photo for Natural Language Processing | Riyanka Bhowal, Walmart

video

Natural Language Processing | Riyanka Bhowal, Walmart

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

Thumbnail photo for WiDS Honors Juneteenth 2021

blog

WiDS Honors Juneteenth 2021

TOPICS: Values

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

blog

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

blog

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

video

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

video

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