Data-driven decision making rests on systematically collected, high-quality data and transparent measurement. It emphasizes governance, provenance, and reproducibility over intuition. Decisions are anchored in validated models, with bias and overfitting mitigated through rigorous testing. The approach translates insights into measurable…

Neural networks are computational models composed of interconnected units that learn representations from data. Deep learning extends this structure with multiple processing layers, enabling hierarchical feature extraction. Data shape the learning process, constraining capacity and guiding architecture design. Across images,…