Scott shares his journey into machine learning, sparked during his PhD in applied math. He discusses the unique focus of Cornell's environment, which fostered his academic pursuits. The conversation delves into how Sigopt leverages Bayesian optimization to enhance model parameter tuning, promising valuable insights for anyone interested in advanced AI techniques.
