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Let’s Make a Movie Recommendation System (LAB) #16

Season 1 Episode 16 | 14m 33s

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 system to find that perfect movie. Follow Along: https://colab.research.google.com/drive/1-v9cw18wTDjaCUlECKHsQnHeisLKyG8U

Aired: 11/28/19
Extras
In our final episode of Crash Course AI, we're going to look towards the future.
Jabril tries to make an AI to settle the question once and for all.
We're going to talk about 5 common types of algorithmic bias we should pay attention to.
Search engines are just AI systems that try to help us find what we’re looking for.
We’re going to talk about recommender systems.
One of the most common ways we interact with computers is through language
We’re going to focus on the benefits of humans and AI working together.
We create a game and then build an AI to destroy it.
One of the best test spaces for building new AI systems are games.
Robots are built to perform specific tasks.
Latest Episodes
In our final episode of Crash Course AI, we're going to look towards the future.
Jabril tries to make an AI to settle the question once and for all.
We're going to talk about 5 common types of algorithmic bias we should pay attention to.
Search engines are just AI systems that try to help us find what we’re looking for.
We’re going to talk about recommender systems.
One of the most common ways we interact with computers is through language
We’re going to focus on the benefits of humans and AI working together.
We create a game and then build an AI to destroy it.
One of the best test spaces for building new AI systems are games.
Robots are built to perform specific tasks.