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Crash Course: Artificial Intelligence
Web Search #17
Season 1
Episode 17
Search engines can be the sort that serve up a list of results, like during a Google or Bing search, using web crawlers, an inverted index, and measuring stuff like click through and bounce back to figure out what you want to see. They can also be the kind that give you answers, like when you ask Siri or Alexa a question, relying on knowledge bases.
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10:50
In our final episode of Crash Course AI, we're going to look towards the future.
13:01
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.
14:33
We need to save Jabril and John Green Bot’s movie nights.
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.
9:52
Robots are built to perform specific tasks.
13:01
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.