Content-based Recommender Systems

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4.7 (8,063 évaluations)
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JT

Apr 18, 2020

This course was a great taster for machine learning techniques. My only recommendation would be to add more explanation on tuning techniques for models and cover more of the supporting mathematics.

SS

Apr 17, 2020

I liked it very much and was able to clearly understand the usage in programming language with ML related libraries. Thanks to IBM friends and Coursera for providing the expertise and the platform.

À partir de la leçon
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.

Enseigné par

  • SAEED AGHABOZORGI

    SAEED AGHABOZORGI

    Ph.D., Sr. Data Scientist
  • Joseph Santarcangelo

    Joseph Santarcangelo

    Ph.D., Data Scientist at IBM

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