The discipline of engineering is extremely broad, and encompasses a range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied science, technology and types of application.
Tell us which one would you prefer to choose – model accuracy or model performance?
Explain me what cross-validation technique would you use on a time series dataset?
Tell us how will you know which machine learning algorithm to choose for your classification problem?
Explain me what’s the trade-off between bias and variance?
Tell us how is a decision tree pruned?
Explain me how would you handle an imbalanced dataset?
Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?
Explain me a hash table?
Tell me what are the last machine learning papers you’ve read?
Tell us how do classification and regression differ?
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