This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations.
About this Course
Skills you will gain
- 5 stars60.54%
- 4 stars29.62%
- 3 stars6.28%
- 2 stars1.77%
- 1 star1.77%
TOP REVIEWS FROM INTRODUCTION TO RECOMMENDER SYSTEMS: NON-PERSONALIZED AND CONTENT-BASED
Great, thorough introduction with tracks for both Java programmers and non-programmers.
I think I am on the right track to changing my career from java engineer from data scientist, this course is one of the best start point
I am confused using Java for programming, it is better using python or R in the next course
As a software engineer with computer science background I found that course enhancing my knowledge. I'm going to continue the specialization.
About the Recommender Systems Specialization
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