Course Curriculum
| Recommendation Systems | |||
| Recommendation Systems: Part 1 | 00:45:00 | ||
| Recommendation Systems: Part 2 | 01:15:00 | ||
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10 STUDENTS ENROLLED
Recommendation Systems
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10 STUDENTS
In many ways the first and greatest problem of modern machine learning, recommenders are the engines which drive modern commerce. You will learn about the two types of recommenders, and how to blend them to get the best of both worlds. We discuss text analytics, search, and evaluation as well as product recommendation. You will then build and deploy a recommendation engine in Azure Machine Learning.
