Strategies for Model Speed vs Model Accuracy

This chapter stresses the significance of commencing with simple models when dealing with accumulating labeled data, gradually transitioning to more complex models like deep learning for improved accuracy. It also underscores the prioritization of model speed over accuracy in production systems for a better user experience.