Over the past 15 years, deep learning has emerged as the dominant force driving the AI revolution. Its key strength lies in automating feature engineering, enabling powerful end-to-end learning directly from raw data and reducing reliance on domain-specific expertise. Yet, truly automated learning pipelines remain out of reach: while manual feature design has diminished, it … Continue reading Hyperparameter Optimization