Postgraduate Certificate in Collaborative Filtering and Matrix Factorization
-- ViewingNowThe Postgraduate Certificate in Collaborative Filtering and Matrix Factorization is a comprehensive course that addresses the growing demand for professionals skilled in advanced data analysis techniques. This certificate program focuses on collaborative filtering and matrix factorization, which are essential for building accurate recommendation systems, a key component in many data-driven industries.
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โข Introduction to Collaborative Filtering and Matrix Factorization
โข Types of Collaborative Filtering: User-Based and Item-Based
โข Matrix Factorization Techniques: Singular Value Decomposition (SVD) and Alternating Least Squares (ALS)
โข Implementing Collaborative Filtering Algorithms in Python
โข Evaluation Metrics for Recommender Systems
โข Deep Learning for Collaborative Filtering
โข Scalability and Efficiency in Matrix Factorization
โข Collaborative Filtering for Session-Based Recommendations
โข Collaborative Filtering for Cross-Domain Recommendations
โข Ethical Considerations in Recommender Systems
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