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Explain what is the difference between inductive machine learning and deductive machine learning?
Which do you think is more important: model accuracy or model performance?
What cross-validation technique would you use on a time series dataset?
What do you think of our current data process?
When should you use classification over regression?
What is the “kernel trick” and how is it useful?
Explain machine learning in to a layperson?
What's the f1 score? How would you use it?
What are your favorite use cases of machine learning models?
An example where ensemble techniques might be useful?
What is the difference between a generative and discriminative model?
How a roc curve works?
What is bayes' theorem? How is it useful in a machine learning context?
How would you handle an imbalanced dataset?
How do you handle missing or corrupted data in a dataset?
