Crash Course Artificial Intelligence - Season 1 Episode 16 Let’s make a movie recommendation system
2019-12-27
48 minutes.
Season - Episode
1
Season 1 Aug 09, 2019
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1 - 1What Is Artificial Intelligence? Aug 09, 2019 -
1 - 2Supervised Learning Aug 16, 2019
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1 - 3Neural Networks and Deep Learning Aug 23, 2019
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1 - 4Training Neural Networks Aug 30, 2019
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1 - 5How to make an AI read your handwriting (LAB) Sep 06, 2019
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1 - 6Unsupervised Learning Sep 20, 2019
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1 - 7Natural Language Processing Sep 27, 2019
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1 - 8Make an AI sound like a YouTuber (LAB) Oct 04, 2019
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1 - 9Reinforcement Learning Oct 11, 2019
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1 - 10Symbolic AI Oct 18, 2019
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1 - 11Robotics Oct 25, 2019
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1 - 12AI Playing Games Nov 01, 2019
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1 - 13Let's make an AI that destroys video games Nov 08, 2019
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1 - 14Humans and AI working together Nov 15, 2019
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1 - 15How YouTube knows what you should watch Nov 22, 2019
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1 - 16Let’s make a movie recommendation system Nov 29, 2019
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1 - 17Web Search Dec 06, 2019
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1 - 18Algorithmic Bias and Fairness Dec 13, 2019
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1 - 19Cats Vs Dogs? Let's make an AI to settle this Dec 20, 2019
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1 - 20The Future of Artificial Intelligence Dec 27, 2019
0
Season 0 Aug 02, 2019
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0 - 1Crash Course Artificial Intelligence Preview Aug 02, 2019
Overview
We need to save Jabril and John Green Bot’s movie nights. Jabril generally likes action movies and John Green Bot likes romantic movies, but they need to find something that they can both watch and enjoy together. Today, we’re going to build a movie recommender systems to find that perfect movie. With the help of the LensKit library, our AI will use existing movie ratings from the MovieLens dataset and personalized ratings from Jabril and John Green Bot to perform user-user collaborative filtering. We’ll then create a Jabril Green Bot hybrid that will average these ratings to try and find something that they both want to watch.
Year 2019
Studio
Director
Popularity 0.344
Language English
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