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It's Your Data, Master It.
Scalable Recommender Systems with Madlib
Overview
Skills Needed
Learn to build scalable recommender systems with Madlib. Explore collaborative filtering, content-based filtering, and matrix factorization techniques with Madlib.
Intermediate knowledge of machine learning concepts
Understanding of recommendation algorithms
Outline
Introduction to Recommender Systems
Collaborative Filtering Techniques
Content-based Filtering Methods
Matrix Factorization Approaches
Hybrid Recommender Systems
Evaluation Metrics for Recommender Systems
Scalability Challenges and Solutions
Real-time Recommendation Engines
A/B Testing for Recommender Systems
Best Practices for Recommender System Development with Madlib
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