Crash Course Artificial Intelligence - Season 1 Episode 2 Supervised Learning
Today we’re going to teach John Green Bot how to tell the difference between donuts and bagels using supervised learning! 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. Next week, we'll build our first neural network.
Year: 2019
Genre:
Country:
Studio:
Director:
Cast: Jabril Ashe
Crew: John Green (Executive Producer), Hank Green (Executive Producer)
First Air Date: Aug 09, 2019
Last Air date: Dec 27, 2019
Season: 1 Season
Episode: 20 Episode
Runtime: 26 minutes
IMDb: 0.00/10 by 0.00 users
Popularity: 0.346
Language: English
Keyword :
Episode
What Is Artificial Intelligence?
Supervised Learning
Neural Networks and Deep Learning
Training Neural Networks
How to make an AI read your handwriting (LAB)
Unsupervised Learning
Natural Language Processing
Make an AI sound like a YouTuber (LAB)
Reinforcement Learning
Symbolic AI
Robotics
AI Playing Games
Let's make an AI that destroys video games
Humans and AI working together
How YouTube knows what you should watch
Let’s make a movie recommendation system
Web Search
Algorithmic Bias and Fairness
Cats Vs Dogs? Let's make an AI to settle this
The Future of Artificial Intelligence