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Symbolic AI #10

Symbolic AI #10

Season 1 Episode 10
13:01
Robotics #11

Robotics #11

Season 1 Episode 11
9:52
AI Playing Games #12

AI Playing Games #12

Season 1 Episode 12
11:11
Humans and AI Working Together #14

Humans and AI Working Together #14

Season 1 Episode 14
9:56
Web Search #17

Web Search #17

Season 1 Episode 17
11:08
Algorithmic Bias and Fairness #18

Algorithmic Bias and Fairness #18

Season 1 Episode 18
10:56
Episode 5: The Calling

The Calling

Season 4 Episode 5
53:05
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Crash Course: Artificial Intelligence

Reinforcement Learning #9

Season 1 Episode 9

Reinforcement learning is useful in situations where we want to train AIs to have certain skills we don’t fully understand. We’re going to explore these ideas, introduce a ton of new terms like value, policy, agent, environment, actions, and states and we’ll show you how we can use strategies like exploration and exploitation to train John Green Bot to find things more efficiently next time.

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Natural Language Processing #7
12:31
One of the most common ways we interact with computers is through language
Unsupervised Learning #6
11:41
We’re moving on from artificial intelligence that needs training labels.
How to Make an AI Read Your Handwriting (LAB) #5
16:56
John Green Bot wrote his first novel!
Training Neural Networks #4
12:08
We’re going to talk about backpropagation.
Neural Networks and Deep Learning #3
11:29
We're combining the artificial neuron we created into an artificial neural network.
Supervised Learning #2
14:57
We’re going to teach John Green Bot how to tell the difference between donuts and bagels.
What Is Artificial Intelligence? #1
11:25
What Is Artificial Intelligence?
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