全部能力

Build collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement

Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability

Reduce feature dimensionality using PCA, t-SNE, and feature selection for feature reduction, visualization, and computational efficiency

Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow