Intro to Recommender Systems

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4.7(10,100 個評分)
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RN
2020年5月25日

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

SK
2019年8月3日

The instructor was awesome. His voice was crisp and to the point. The course is actually well laid out with proper structure. Altogether a great learning experience. Cheers... Keep up the good work.

從本節課中
Recommender Systems
In this module, you will learn about recommender systems. First, you will get introduced with main idea behind recommendation engines, then you understand two main types of recommendation engines, namely, content-based and collaborative filtering.

教學方

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    SAEED AGHABOZORGI

    Ph.D., Sr. Data Scientist
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    Joseph Santarcangelo

    Ph.D., Data Scientist at IBM

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