Jonny Edwards - Recommenders in Python
2,765 views · Published 14 April 2014 · 44:17 · Indexed 24 October 2026
Channel: PyData · 2014 · People & Blogs
View Jonny's iPython notebook and sample data set here: http://www.thoughtfultech.co.uk/matrix-completion-for-users-and-items.html Recommender Systems are now ubiquitous in solving the problem of predicting latent behaviour from customer data. This workshop presents an introduction to this problem using a wide range of Python based libraries. We firstly review the general problem and simple collaborative filtering methods in numpy, before examining Matrix Factorisation using the SVD methods present in scipy and the sparsesvd. We then explore Non-negative Matrix Factorisation and binary problems using the nimfa library. To summarise, we end end with a comparative study on an example data-set, comparing efficacy and accuracy. This tutorial is online at http://nbviewer.ipython.org/gist/jonn... 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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