Importance of Understanding Data for Model Building

Understanding the data is crucial for effective model building. Close engagement with the data enables a co-development process of data sets and models, rather than just a model training problem. Organizations can improve model training by evaluating loss per region on a data set to increase exposure on specific domains. This approach involves online training and monitoring the models' evolution on specific subsets of the data.

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