Artificial Intelligence
Content-Based and Model-Based Recommendations in Go
In this course, learners will dive into content-based recommendation systems, focusing on feature engineering, user and item profiling, and factorization machines. These approaches utilize item features and user profiles to make recommendations. The course provides hands-on coding examples to demonstrate how to develop content-based models that harness rich data for personalized recommendations.
Go
5 lessons
22 practices
1 hour
Machine Learning Model Development
Course details
Content Based Recommendations in Go
Merging Data Structures in Go
Adding Playtime Feature to Data Processing
Merging Game Data for Recommendation Features
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