featured
Global Datathon Workshop #1: Introduction to the Challenge and Dataset
Introduction to the Challenge and Dataset, datathon tutorial...
With our extensive collection of talks from Conferences, Workshops, and Datathons, you can easily search by topic and language. Delve into the innovative technical work of thousands of exceptional women in academia, industry, government, and nonprofits across the globe. Explore our archive of videos and discover outstanding women in data science, AI, and technical fields worldwide.
-
-
featured
STEM to Data Science Journey
Watch this WiDS Workshop where data science professionals Jie Z. Nissel and Elizabeth Johnson share their journeys from STEM to data science.... -
featured
Janani Sriram on Making Moves and Finding Grooves in a Data Science Career
This conversation covers career growth and balance, transitioning to leadership, and how self-awareness can guide success.... -
featured
Machine Learning in the Real World: Insights from an ML Engineer in the Rideshare Industry
In this talk, Rachita Naik shares her journey and experiences as a Machine Learning Engineer at Lyft, detailing the path that led her to pursue a care...
Filters
Been Kim | Interpretability for Everyone | WiDS Stanford 2020
TOPICS: Algorithms, Data Generation/Collection, Data Science as a Career, Values
Timnit Gebru | Understanding the Limitations of AI | WiDS Stanford 2019
TOPICS: Algorithms, Data Science as a Career, Software Design and Engineering, Values
Areej Al-Wabil | Brain Computer Interfaces for AI Driven Artistic Expression | WiDS Riyadh 2020
TOPICS: Data Generation/Collection, Data Visualization
Elena Grewal | Scaling Data Science | WiDS Stanford 2020
TOPICS: Algorithms, Data Science as a Career, Data Wrangling
Sanghamitra Bandhyopdhyay | Fireside Chat | WiDS Bengaluru @ Intuit
TOPICS: Algorithms, Data Generation/Collection, Data Science as a Career, Foundations (Mathematics/Statistics), Hardware, Values
Ema Rie | The Fusion of Science and Fashion | WiDS Tokyo @ YCU 2020
TOPICS: Data Generation/Collection, Data Visualization, Foundations (Mathematics/Statistics), Values