During this session, I will discuss current practices as well as challenges of acquiring data from different users and making it accessible for ML pipelines.
Key Takeaways
- How to use data from users
- What infrastructure is needed for processing data
- How to abstract data and use in ML models
- Challenges and concerns with processing user data
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