Simplifying Model Training
Training small, specific models can be straightforward, but the journey to that point is complex. It involves breaking down broad business questions into precise prediction problems, which often requires understanding the context of the data. Mislabeling sentiments or failing to define terms like "positive" and "negative" can lead to confusion for the model, emphasizing the importance of clarity before diving into data.In this clip
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SE Radio 611: Ines Montani on Natural Language Processing
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