Data Brew Season 2 Episode 7: Interpretable Machine Learning
Data Brew by Databricks
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Machine Learning on Privacy
There's a lot of work, you growing work in the field of machine learning on privacy. One way to not be safe is if models that are trained on some data somehow revealing sensitive information about people or organizations. The other obvious thing that people talk about is a fairness, or lack thereof. So why do you think there's so much emphasis on the field of privacy and fairness now? Is it because there's more use cases, more people working in machine learning?
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