Artificial Intelligence
Diving Deep into Collaborative Filtering Techniques with ALS
This course explores collaborative filtering techniques, which are central to modern recommendation systems. It covers both user-based and item-based collaborative filtering methods, as well as matrix factorization and the powerful Alternating Least Squares algorithm.
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5 lessons
19 practices
1 hour
Machine Learning Model Development
Course details
Introduction to Recommendation Systems
Loading Rating Matrix from Text File in Go
Adjusting Missing Data Ratio in Recommendation System Dataset
Implementing Missing Data Simulation for Recommendation System Testing
Calculating Missing Data Proportions in Explicit Ratings Dataset
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