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Supervised Learning #2

Season 1 Episode 2 | 14m 57s

Supervised learning is the process of learning WITH training labels, and is the most widely used kind of learning with it comes to AI - helping with stuff like tagging photos on Facebook and filtering spam from your email. We’re going to start small today and show how just a single neuron (or perceptron) is constructed, and explain the differences between precision and recall.

Aired: 08/15/19
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.