Margot Gerritsen joins us for a great discussion that was both technical and inspiring, on the topics of principal component analysis and linear algebra, as well as the importance of women in data science.
In this episode you will learn:
- Margot’s travels and background [7:29]
- Margot’s position and work at Stanford [13:38]
- What is linear algebra? [18:00]
- Principle component analysis [23:02]
- WIDS, Women in Data Science [32:08]
- Margot’s diversity call to action [58:12]
- How can men support their female colleagues? [1:05:55]
Additional materials: www.superdatascience.com/407
Fler avsnitt av Super Data Science: ML & AI Podcast with Jon Krohn
Visa alla avsnitt av Super Data Science: ML & AI Podcast with Jon KrohnSuper Data Science: ML & AI Podcast with Jon Krohn med Jon Krohn finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.
