Recommender systems had revolutionized the way we do online shopping. Contextual suggestions had proven to improve a company’s revenue by using subtle signals that are sometime hidden from the human observer. In this course we would cover various techniques of implementing and measuring a recommendation engine. We would discuss content-based approached vs collaborative based approaches, and demonstrate the trade offs.
Data scientists and technical product managers with coding skills.
Familiarity with Jupyter Notebooks
Statistical Background is Recommended
Graduates of this course will be able to:
Set up a recommendation engine
Measure the effectiveness of recommendation on a long term