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Recommender Systems

Instructor: Jae-kwang KIM

Duration:

This course is perfect for anyone interested in learning about Recommender Systems. It covers the basic concept, Collaborative Filtering, Recommender System with Deep Learning, and Further Issues of Recommender Systems. It requires basic knowledge of Python programming and mathematics including matrix multiplications, conditional probability, and basic machine learning algorithms. With this course, you will gain a comprehensive understanding of the fundamentals of Recommender Systems and be able to apply them to real-world problems. So, if you are looking to learn more about Recommender Systems, this course is for you. ▼▲

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Course Feature Course Overview Course Provider Discussion and Reviews

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Course Feature

Cost:

Free

Provider:

Coursera

Certificate:

Paid Certification

Language:

English

Start Date:

29th May, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides an introduction to Recommender Systems. Students will gain an understanding of the basic concepts of Recommender Systems, Collaborative Filtering, Recommender Systems with Deep Learning, and Further Issues of Recommender Systems. To be successful in this course, students should have a basic knowledge of mathematics, including matrix multiplications, conditional probability, and basic machine learning algorithms, as well as be comfortable programming in Python.

Course Provider

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