Open Data Challenges
Erin discusses the challenges of working with open data sets in machine learning, highlighting the messy nature of the 2020 census data. She emphasizes the importance of transparency in data processing and how it can impact trust and reputation in journalism and machine learning.In this clip
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Practical AI
Creating instruction tuned models
Related Questions
Is data quality overlooked in machine learning as discussed in the episode Machine Learning Done Wrong and the clip Uncovering Data Insights?
Why is openness important for artificial intelligence, as discussed in the episode Predictive Policing and the clip Open Data and Algorithms of the DisTrO and the Quest for Community-Trained AI Models?