Mitigating ML Concerns
Transparency within organizations is crucial for understanding the capabilities and limitations of machine learning models. Tools like model cards and demos can help clarify potential biases and ethical considerations. It's essential to integrate machine learning thoughtfully, especially in critical applications, ensuring that human oversight complements automated processes to mitigate risks effectively.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
SDS 564: Clem Delangue on Hugging Face and Transformers
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