Q11. What is data leakage in machine learning?
Data leakage is when information unavailable at prediction time seeps into training, producing optimistic validation scores that collapse in production. Common sources: -...
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Q12. What is MLOps and why does monitoring matter?
MLOps applies DevOps practices to machine learning: versioning data, code and models; automating training and deployment; and monitoring models in production. Key compone...
Q13. Explain ROC-AUC and when it can be misleading.
ROC-AUC is the probability that a randomly chosen positive example is ranked above a randomly chosen negative one. It summarizes performance across all thresholds, and 0....
Q14. How would you design a recommendation system end to end?
Start with the objective and data: implicit signals such as views, clicks and purchases, plus explicit ratings and item or user features. A common two-stage design: - Can...