Hyperparameter optimization lies at the core of developing robust and reliable machine learning models. Unlike parameters learned during training, hyperparameters are set prior to the learning process ...

Recent benchmarks show that suboptimal hyperparameter choices can slash a model’s accuracy by 20%. This critical insight inspired a comprehensive review co-authored by Mr. Ikenna Odezuligbo, published ...