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Basics of ML (30 min): rapid-fire questions, roughly 3 minutes each, not deep

  • Confirmed (Fin's schedule doc): rapid-fire questions across different aspects of ML
  • Prep focus: breadth over depth. Crisp, correct answers on fundamentals (bias/variance, overfitting, regularization, evaluation metrics, common architectures)
  • Practice giving a complete answer inside 3 minutes per topic