: Set up observability for both operational metrics (throughput) and ML-specific metrics like data and concept drift.
: Address how to source training data, handle imbalanced classes, and manage data labeling.
"Machine Learning System Design Interview" by Ali Aminian and Alex Xu provides a structured, 7-step framework for tackling end-to-end ML system design questions, covering requirements, data engineering, model selection, and deployment. The guide features case studies on practical applications such as visual search, content moderation, and recommendation systems. Purchase the book or access the curriculum at ByteByteGo. Machine Learning System Design Interview by Ali Aminian
The heart of the book is a designed to help you navigate open-ended questions without getting lost in the details:
: Set up observability for both operational metrics (throughput) and ML-specific metrics like data and concept drift.
: Address how to source training data, handle imbalanced classes, and manage data labeling. machine learning system design interview ali aminian pdf
"Machine Learning System Design Interview" by Ali Aminian and Alex Xu provides a structured, 7-step framework for tackling end-to-end ML system design questions, covering requirements, data engineering, model selection, and deployment. The guide features case studies on practical applications such as visual search, content moderation, and recommendation systems. Purchase the book or access the curriculum at ByteByteGo. Machine Learning System Design Interview by Ali Aminian : Set up observability for both operational metrics
The heart of the book is a designed to help you navigate open-ended questions without getting lost in the details: handle imbalanced classes