Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota
Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota is the first course of five courses in Recommender Systems Specialization from University of Minnesota, an intermediate/advanced level specialization focused on Recommender System on Coursera Platform.
This course covers:
- Summary Statistics
- Introducing Recommender Systems
- Non-Personalized and Stereotype-Based Recommenders
- Term Frequency Inverse Document Frequency (TF-IDF)
- Content-Based Filtering
You can see the Certificate of Completion and other certificates in my Certificates Repo that contains all my certificates obtained through my journey as a self-made Data Science and better developer.
Please, don't fork or copy this repository.
The Recommender Systems Specialization from University of Minnesota, is one of the hardest specializations on the Coursera plaform. You need to study a lot for succeed it.