Talk Python To Me #467: Data Science Panel at PyCon 2024
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Jun 20, 2024 
Join Jodie Burchell, Maria Jose Molina-Contreras, and Jessica Greene as they discuss recent data science topics like model evaluations, practicality vs. complexity, bias assessment, and measuring metrics. They share insights on career transitions, challenges in the field, and the intersection of data science with other domains. The conversation covers a wide range of data science aspects and emphasizes the importance of networking and continuous learning.
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From Coffee to Code
- Jessica Green was a coffee roaster before transitioning to ML engineering.
- She finds similarities between problem-solving in both roles, highlighting accessible tools.
Data Science Accessibility Then and Now
- Jordy Burchill notes data science felt inaccessible eight years ago but now feels hostile to beginners due to AI hype.
- The field's fundamentals haven't changed drastically; NLP and computer vision are more prominent now.
Keep it Simple
- Businesses often solve problems with the simplest effective model, not always cutting-edge tech.
- Jordy Burchill emphasizes using basic algorithms like decision trees and linear regression when appropriate.