Efficient Parameter Tuning with SigOpt

This chapter explores the challenges of automated model tuning, emphasizing a five-dimensional optimization problem. It introduces SigOpt's efficient solution using Bayesian optimization techniques and demonstrates its application in tuning parameters for an XGBoost classifier.