The Art and Science of building Recommender Systems
In this workshop, we will understand the algorithms behind recommender systems in different domains and gain an appreciation for how the domain impacts the approach used. Attendees will be creating recommenders using user item matrices, news and graphs gaining an understanding of collaborative and content-based filtering, text representation, matrix factorization, and random walks.
Learning Outcome
In this workshop, we will understand the algorithms behind recommender systems in different domains and gain an appreciation for how the domain impacts the approach used.
Target Audience
Data Scientists, Data Engineers, Data Specialists, Machine Learning Engineers, Data Science Enthusiasts
Prerequisites for Attendees
Please make sure you have the following installed on your machine:
- bumpy
- scipy
- scikitlearn