Automl Insights

Lukas and Hamel discuss the value of AutoML beyond just finding the best model, emphasizing the importance of exploring different runs to gain insights into the dataset. They highlight the limitations of treating AutoML as a black box and stress the benefits of learning from the process as a data scientist.