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Practical AI

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Unlocking Insights from Unstructured Data

This chapter explores the challenges and opportunities in analyzing unstructured data, particularly in the context of safety data. It discusses the integration of machine learning methods for extracting insights, the complexities of data labeling, and the essential role of subject matter experts in the process. Additionally, it details the practical aspects of deploying machine learning models and the iterative collaboration needed for effective labeling and classification.

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