Intelligent Course Recommendation API with Machine Learning Bridge

Architect a PHP-based recommendation API that bridges student performance data with machine learning models for personalized course suggestions. Develop a sophisticated endpoint that accepts student academic history, learning preferences, and career goals, then interfaces with external ML services to generate dynamically weighted course recommendations. Implement caching strategies, support for incremental model updates, and comprehensive tracking of recommendation effectiveness. Include advanced filtering mechanisms to prevent recommendation bias and support complex institutional recommendation policies.