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Discover how to accelerate data labeling for enterprise AI initiatives through programmatic techniques. Learn about the challenges of traditional data labeling methods and explore the solution of using labeling functions to capture expert knowledge and scale data annotation. Understand how this approach can significantly reduce model development time from months to days. Explore real-world use cases including classifying chatbot utterances for banking, extracting procedures from pharmaceutical documents, and identifying drugs and adverse events in medical notes. Gain insights into iterating, adapting, and improving label accuracy through AI data development techniques.
Syllabus
Curate training data via labeling functions— 10 to 100x faster
Taught by
Snorkel AI
Reviews
5.0 rating, based on 1 Class Central review
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This course gave me a better understanding of how training data can be curated and labeled efficiently. I found the explanation useful and it helped me learn more about the role of data labeling in AI.