EPISODE · May 23, 2016 · 5 MIN
Build a Movie Recommender - Machine Learning for Hackers #4
from Siraj Raval
This video will get you up and running with your first movie recommender system in just 10 lines of C++. We train a neural network on a MovieLens dataset of movie ratings by different users to generate a top 10 recommendation list for the default user ID. The code for this video is here (everything included): https://github.com/llSourcell/Movie_Recommender I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ The Original Amazon DSSTNE code is here: https://github.com/amznlabs/amazon-dsstne Link to AWS: https://aws.amazon.com/ Link to FileZilla: https://sourceforge.net/projects/filezilla/ Paper I found pretty cool (a deep learning based rec system): https://arxiv.org/pdf/1409.2944.pdf And a correction -- Scott grand recently tested it vs Tensorflow and reported not just a 2x, but a 15x speedup: https://medium.com/@scottlegrand/first-dsstne-benchmarks-tldr-almost-15x-faster-than-tensorflow-393dbeb80c0f#.loze1hltg I love you guys! Thanks for watching my videos, I do it for you. I left my awesome job at Twilio and I'm doing this full time now. I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Much more to come so please subscribe, like, and comment. Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
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Build a Movie Recommender - Machine Learning for Hackers #4
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