Build a Movie Recommender - Machine Learning for Hackers #4

Siraj Raval demonstrates how to build a movie recommendation system using Amazon's DSSTNE deep learning library.

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): github.com/llSourcell/Movie_Recommender I created a Slack channel for us, sign up here: wizards.herokuapp.com/ The Original Amazon DSSTNE code is here: github.com/amznlabs/amazon-dsstne Link to AWS: aws.amazon.com/ Link to FileZilla: sourceforge.net/projects/filezilla/ Paper I found pretty cool (a deep learning based rec system): 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: medium.com/@scottlegrand/first-dsstne-benchmarks-tldr-almost… 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!: patreon.com/user?ty=h&u=3191693 Much more to come so please subscribe, like, and comment. Follow me: Twitter: twitter.com/sirajraval Facebook: facebook.com/sirajology Instagram: instagram.com/sirajraval/ Instagram: instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): wagergpt.xyz