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Practical AI
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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Listen to the best highlights from the podcasts you love and dive into the full episode