Recommender Systems: Behind The Screen
Recommender Systems: Behind The Screen course will teach you the best methodologies and practices for recommender systems, which are an important part of the online ecosystem. This course was created as part of a workshop held in Montreal by IVADO and HEC Montréal. Seven worldwide professionals from academia and industry will accompany you along and provide actual examples. This is one of the best online courses to learn business intelligence.
Recommender systems are algorithms that look for patterns in user behavior in order to improve personalized experiences and gain a better understanding of their surroundings. They are often used to recommend products to consumers, such as books, movies, but also potential friends, food recipes, or even useful documentation in major software projects, or scientific publications of interest.
The goal of this MOOC is to provide an overview of the topic of recommender systems. Machine learning for recommender systems is covered first, followed by an overview of assessment methods, advanced modeling, contextual bandits, ranking algorithms, and fairness and discrimination in recommender systems.
The course is designed for industry professionals and academics who have a basic understanding of mathematics and programming (first-year undergraduate) (ideally Python). This content may be useful and appealing for graduate students in science and engineering (especially those who are unfamiliar with machine learning and recommender systems). This course's content will be useful to anyone who utilizes or is interested in AI in any other way.
At a glance
- Institution: UMontrealX
- Subject: Computer Science
- Level: Introductory
- Prerequisites: Minimal knowledge of programming and basic knowledge in mathematics.
- Language: English
- Video Transcript: English
What you'll learn
- Learn the fundamentals of recommender systems, including terminology;
- Determine the sorts of problems and the strategies used by recommender systems to tackle them;
- In recommender systems, apply the approach for completing a project.
- Through practical and tutorial sessions, learn how to use the algorithms of recommender systems.
Instructors: Laurent CHARLIN, Michael EKSTRAND, Fernando DIAZ
Price: $150
Website: https://www.edx.org/course/recommender-systems-behind-the-screen
