Job category: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.
C++
5 lessons
19 practices
1 hour
Badge for Machine Learning Model Development,

Course details

Introduction to Recommendation Systems
Loading a Rating Matrix from a Text File
Adjusting the Missing Data Ratio and Printing Missing Indices
Marking Ten Percent of Ratings as Missing for Testing
Calculating Proportions of Missing and Non-Missing Data in a Recommendation Dataset

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