Recommender Systems Specialization
Master recommender systems from content-based filtering to collaborative methods. Design and evaluate real recommendation engines.
Master recommender systems from content-based filtering to collaborative methods. Design and evaluate real recommendation engines.
This comprehensive specialization covers fundamental techniques in recommender systems, from basic content-based filtering to advanced matrix factorization methods. Students learn to implement various recommendation algorithms, evaluate system performance, and understand real-world applications. The program combines theoretical knowledge with practical implementation using both spreadsheet tools and the LensKit toolkit, making it suitable for both data scientists and marketing professionals. Through hands-on projects and interactive exercises, participants gain expertise in building and evaluating recommendation systems for various business scenarios.
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What you'll learn
Implement various types of recommender systems from basic to advanced. Master collaborative filtering techniques and content-based filtering. Evaluate recommender systems using multiple metrics and methodologies. Develop practical skills with spreadsheet tools and LensKit toolkit. Understand matrix factorization and dimension reduction techniques. Apply hybrid machine learning methods to recommendation systems. Design and analyze real-world recommender systems.
Skills you'll gain
This course includes:
59 Hours PreRecorded video
Interactive exercises, programming assignments (honors track), capstone project
Access on Mobile, Desktop, Tablet
FullTime access
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There are 5 courses in this program
Smart Content: Personalized Recommendations
Course 1 · 23 Hours to complete · 6 modules
Nearest Neighbor Collaborative Filtering
Course 2 · 13 Hours to complete · 6 modules
Recommender Systems: Evaluation and Metrics
Course 3 · 7 Hours to complete · 5 modules
Matrix Factorization and Advanced Techniques
Course 4 · 14 Hours to complete · 6 modules
Recommender Systems Capstone
Course 5 · 2 Hours to complete · 1 modules
Fee Structure
Payment options
Financial Aid
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