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Crash Course: Artificial Intelligence
Let’s Make a Movie Recommendation System (LAB) #16
Season 1
Episode 16
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
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10:50
In our final episode of Crash Course AI, we're going to look towards the future.
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Jabril tries to make an AI to settle the question once and for all.
10:56
We're going to talk about 5 common types of algorithmic bias we should pay attention to.
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Search engines are just AI systems that try to help us find what we’re looking for.
10:19
We’re going to talk about recommender systems.
9:56
We’re going to focus on the benefits of humans and AI working together.
13:06
We create a game and then build an AI to destroy it.
11:11
One of the best test spaces for building new AI systems are games.
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Robots are built to perform specific tasks.
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Symbolic AI represents problems using symbols and then uses logic to search for solutions.
11:07
Reinforcement Learning.
15:17
Let’s try to help John Green Bot sound a bit more like the real John Green using NLP.