Machine Learning Algorithm Design Questions

Focus on designing an appropriate machine learning approach for a given problem. Topics include problem framing such as classification, regression or clustering; model family selection; architecture and loss function choices; evaluation and validation strategies; hyperparameter tuning; and considerations for complexity, scalability and interpretability. Discuss debugging strategies, failure modes, and how algorithmic choices affect downstream serving and monitoring.