Masterclass Certificate in Recommender Systems Development
-- ViewingNowThe Masterclass Certificate in Recommender Systems Development is a comprehensive course that empowers learners with the essential skills to build intelligent, personalized recommendation systems. In an era where data-driven decisions reign supreme, this course's significance cannot be overstated.
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โข Unit 1: Introduction to Recommender Systems Development
โข Unit 2: Types of Recommender Systems: Content-Based, Collaborative Filtering, Hybrid
โข Unit 3: Data Collection and Processing for Recommender Systems
โข Unit 4: Feature Engineering and Similarity Measures
โข Unit 5: Collaborative Filtering Algorithms: Matrix Factorization, Neighborhood Methods
โข Unit 6: Content-Based Filtering Techniques: Term Frequency-Inverse Document Frequency (TF-IDF), Cosine Similarity
โข Unit 7: Hybrid Recommender Systems: Weighted, Switching, Feature Combination
โข Unit 8: Evaluation Metrics for Recommender Systems: Precision, Recall, Mean Absolute Error (MAE)
โข Unit 9: Real-World Implementation: Scalability, Distributed Systems, Cloud Computing
โข Unit 10: Ethical Considerations in Recommender Systems: Privacy, Bias, Transparency
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