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Unsupervised Learning #6

Season 1 Episode 6 | 11m 41s

We’re moving on from artificial intelligence that needs training labels, called Supervised Learning, to Unsupervised Learning which is learning by finding patterns in the world. We’ll focus on the performing unsupervised clustering, specifically K-means clustering, and show you how we can extract meaningful patterns from data even when you don't know where those patterns are.

Aired: 09/19/19
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 need to save Jabril and John Green Bot’s movie nights.
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.
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 need to save Jabril and John Green Bot’s movie nights.
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.