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How would you present your findings on monthly retention to a non-technical stakeholder?

What is the significance of regularization in the training of machine learning models?

What is your method for analyzing data, from data collection to communicating the results?

Could you elaborate on what makes a data visualization meaningful and valuable?

Would you elucidate the meaning of training and loss graphs pertaining to neural networks? How does the choice of loss function impact the shape of the loss graph, and what are some extensively used ones? How do the training and loss graphs differ, and what role do they play in optimizing and maximizing model performance?

How do you typically identify outliers in your data projects?

Can you outline the benefits and limitations of SVMs?

What techniques would you utilize to analyze a data set generated from an A/B test, including determining the difference in campaign effectiveness and assessing statistical significance of the findings?

What drew you to Shopee?

If you are working on a clustering task where the labels are already known, how would you determine the effectiveness of the model?