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Shreya Shankar: Machine Learning in the Real World

The Gradient: Perspectives on AI

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Challenges of Ensuring Consistent Performance and Accuracy in Production Machine Learning Models

This chapter explores the difficulties of maintaining performance and accuracy in machine learning models deployed in production, and how this problem affects both small and large companies. The speakers discuss the concept of observability in machine learning and the challenges of detecting and diagnosing issues in ML systems. They also highlight the importance of implementing guardrails and data quality checks to address problems effectively.

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