Women in Data Science Worldwide
En podcast af Professor Margot Gerritsen, Chisoo Lyons
Kategorier:
55 Episoder
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From Graphs to Growth: Mentorship, Math, and the Power of Algorithms
Udgivet: 17.10.2024 -
Beyond Borders: Elevating Women in Data Science and Leadership
Udgivet: 18.9.2024 -
From Internship to Impact: A Data Scientist’s Journey
Udgivet: 19.7.2024 -
The Power of Linguistics in Large Language Models and AI
Udgivet: 19.4.2024 -
Applying topological data analysis and geometry-based ML
Udgivet: 22.2.2024 -
Using Curiosity, Mentorship, and Education to Build a Career
Udgivet: 25.1.2024 -
Fighting Crypto Crime with Data Science
Udgivet: 29.11.2023 -
Using Storytelling to Communicate with Stakeholders
Udgivet: 19.10.2023 -
Data Science Leadership: Creating Meaningful Impact
Udgivet: 29.9.2023 -
Kate Kolich on Mentorship, Data Ethics, and Leadership
Udgivet: 29.8.2023 -
Breaking Barriers to Entry & Success for Women in Tech with Telle Whitney
Udgivet: 20.7.2023 -
Srujana Kaddevarmuth | Opening New Realms of Data Science and AI
Udgivet: 22.6.2023 -
Veronica Edwards | The Bridge Between Dance and Data Science
Udgivet: 18.5.2023 -
Jane Lauder | Using Data Science to Create Aspirational Products
Udgivet: 20.4.2023 -
Priya Donti | Using AI to Fight the Climate Crisis
Udgivet: 4.1.2023 -
Lesly Zerna | Teaching and learning data science in Latin America (Spanish)
Udgivet: 10.11.2022 -
Leda Braga | Applying data science to investment strategies
Udgivet: 14.10.2022 -
Jessica Bohórquez | Using AI for leak detection in water pipelines (Spanish)
Udgivet: 15.9.2022 -
Karolina Urbanska | Using data science to study human behavior
Udgivet: 11.8.2022 -
Welcoming our new podcast co-host, Cindy Orozco
Udgivet: 15.6.2022
Leading women in data science share their work, advice, and lessons learned along the way. Hear how data science is being applied and having impact across domains— from healthcare to finance to climate change and more. Hosted by Professor Emerita Margot Gerritsen from Stanford University and Chisoo Lyons, Chief Program Director of Women in Data Science Worldwide.