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Recommender Systems: Collaborative Filtering & Matrix Factorization is a self-paced beginner-level design online course on GreyAcademy, taught by Anurag Trivedi. It has 7 modules and 31 chapters, and it takes about 10 hours to complete. Enrol once and learn at your own pace. You get a completion certificate when you finish all the lessons.
Topics covered: Real-world check, Comparison across the paradigms, Popular similarity model, Pearson Correlation, Making Predictions, Item-based Collaborative Filtering, Similarity Measure, Pre-processing for Item-based filtering, More on ratings, Matrix Factorization Methods, User-oriented neighborhood method, Latent Factor Approach and more.
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All prices include a 18% platform fee
