ml-research-methodology

Use at the START of ANY machine-learning / deep-learning / AI modeling task - building, training, fine-tuning, or choosing a model for image classification, object/face/vehicle detection, segmentation, medical imaging (tumor/cancer/MRI/X-ray/mammogram), text/NLP/LLM, tabular prediction (churn, price, risk), or time-series forecasting. Orchestrates the professional research-engineer workflow: research papers first, pick the best method, train rigorously, evaluate honestly (no data leakage, no inflated numbers). Routes to the right domain skill automatically.