James McINERNEY

James works on Bayesian approaches to machine learning with applications to recommender systems, stochastic processes, and causal reasoning. He was previously a researcher at Spotify and a postdoc at Columbia University and Princeton University.

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Recommender Systems: Behind the Screen (edX)

Sep 26th 2023
Recommender Systems: Behind the Screen (edX)
Course Auditing
EdX
UMontrealX
Université de Montréal
Categories
Computer Science
Effort
Beginner
5-12 Weeks
5-10 Hours/Week
Languages
English
English
Recommender Systems: Behind the Screen (edX)
How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement. In this course, you will explore and learn the best methods and practices [...]
Bandits
Computer Science
PageRank
Autoencoders
Modelling
Matrix Factorization
Machine Learning
Systems
Recommender Systems
Algorithmic Fairness
View more details
Sep 26th 2023
Course Auditing
EdX
UMontrealX
Université de Montréal
Computer Science
Beginner
5-12 Weeks
5-10 Hours/Week
172.00 EUR
English
English