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.
Tags
Comments
Leave a Comment
Comments are loading... If you don't see any, be the first to comment!
Related Videos
Sampling Methods and Bias with Surveys - Crash Course Statistics
Crash Course Statistics
Where Is The Center of The Universe?
PBS Space Time
Mean, Median, and Mode Measures of Central Tendency - Crash Course Statistics
Crash Course Statistics
MATHS - Numbers - Ordering Positive Numbers
FuseSchool - Global Education
Probability Part 1 Rules and Patterns - Crash Course Statistics
Crash Course Statistics

Crash Course Computer Science | Instructions & Programs: Crash Course Computer Science #8 | PBS
Owner - Crash Course Computer Science - Powered By PBS
The Equation That Explains (Nearly) Everything!
PBS Space Time
How To Build The Universe in a Computer
PBS Space Time

7 AWFUL Phrases That Show You Lack Confidence
Owner-Charisma on Command
What is Urban Planning? Crash Course Geography
Crash Course Geography
