In this course, you will see how to use advanced machine learning techniques to build more sophisticated recommender systems. Machine Learning is able to provide recommendations and make better predictions, by taking advantage of historical opinions from users and building up the model automatically, without the need for you to think about all the details of the model.
提供方

Advanced Recommender Systems
EIT 数字课程信息
Basic knowledge of recommender systems. Basic notions of linear algebra.
对员工进行热门技能培训能否为您的公司带来益处?
体验 Coursera 企业版您将学到的内容有
You will be able to use some machine learning techniques in order to build more sophisticated recommender systems.
You will learn how to combine different basic approaches into a hybrid recommender system, in order to improve the quality of recommendations.
You will know how to integrate different kinds of side information (about content or context) in a recommender system.
You'll learn how to use factorization machines and represent the input data, mixing together different kinds of filtering techniques.
Basic knowledge of recommender systems. Basic notions of linear algebra.
对员工进行热门技能培训能否为您的公司带来益处?
体验 Coursera 企业版授课大纲 - 您将从这门课程中学到什么
ADVANCED COLLABORATIVE FILTERING
SINGULAR VALUE DECOMPOSITION TECHNIQUES - SVD
HYBRID AND CONTEXT AWARE RECOMMENDER SYSTEMS
FACTORIZATION MACHINES
常见问题
我什么时候能够访问课程视频和作业?
我购买证书后会得到什么?
有助学金吗?
还有其他问题吗?请访问 学生帮助中心。