Python, Java backend engineer, self-taught data engineer, eager learner and just a very nice person.
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The data is not flat
Feature engineering and model training often comes hand in hand. Some tasks have an overwhelming amount of high dimensional data, some tasks have little data or very low-dimension data. This talk targets the latter problem: what can be done with the data itself to significantly improve the model performance and when manual feature engineering does make sense.