Machine+learning+system+design+interview+ali+aminian+pdf+portable -

Design how data is collected, cleaned, and versioned.

Detail the extraction and selection of relevant features. Design how data is collected, cleaned, and versioned

Choose appropriate offline (Precision, Recall, ROC-AUC) and online (A/B testing, CTR) metrics. Design how data is collected

Video (YouTube) and event recommendation systems. ROC-AUC) and online (A/B testing

Discuss trade-offs between classical ML and deep learning architectures.