How to Reduce Data Labeling Costs With Active Learning

Many times, businesses have a myriad of data issues which often stem from a lack of data governance within the organization. Before any algorithms run or models are deployed, there is a need for high-quality, labeled data.

In this webinar, Dataiku’s very own Research Scientists Alexandre Abraham and Leo Dreyfus-Schmidt explain the importance of active learning and how it can be used to lower the cost of data labeling necessary to reach a given model’s accuracy.

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