Machine Learning Curriculum Recommendation Engine

Develop a sophisticated TypeScript-based machine learning recommendation system for educational content using advanced type definitions and predictive algorithms. Create a generic, type-safe pipeline that can process student performance data, generate personalized learning recommendations, and adapt to individual learning styles. Implement complex type constraints that allow for extensible machine learning models across different educational domains while maintaining strict compile-time type checking.