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In determining how well a model is performing, the AUC is an essential metric. Could you explain the process of calculating the AUC for a model?

Do you think that Time Series Forecasting is more suited for short-term or long-term predictions?

How does PCA assist in uncovering patterns in data?

How would you go about finding the interquartile range in an array of unsorted decimals?

When do you prefer mean over median? Can you walk me through an example?

What's the principle behind collaborative filtering in the domain of ML?

Explain the difference between bias and variance in machine learning.

Regarding neural networks, do vanishing gradients primarily impact the layers closer to the input or to the output?

Give me a high-level overview of your background. What's your most relevant experience for Roku

Tell me an approach to design a system (from a Data Science perspective) to alert a user that some value you monitor on one of his server is abnormal / deserve action (anomaly detection on time series) ?