Supervised Learning: Crash Course AI #2

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.

Crash Course is produced in association with PBS Digital Studios.

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Eric Prestemon, Sam Buck, Mark Brouwer, Timothy J Kwist, Brian Thomas Gossett, Haxiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Zach Van Stanley, Bob Doye, Jennifer Killen, Nathan Catchings, Brandon Westmoreland, dorsey, Indika Siriwardena, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Khaled El Shalakany, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, David Noe, Shawn Arnold, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore
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[apulcides]

Dude's so chilled that this crash course is actually in a normal pace.

[bracklinnnorah]

That kid getting his test back at 1:47 is the most deeply relatable thing I've seen all day

[BKofficer]

My God that thumbnail is adorable. And the neurons. Whoever designs/animates these images is gifted.

[mattkuhn]

As an AI scientist, I appreciated everything in this episode, except for the ridiculous slander against bagels.

[BrainsApplied]

This reminds me of Google having issues with nudity filters because the color and curves of sand dunes apparently are very similar to naked bodies 😂😂😂

[kaptongoogle]

I was so surprised to see my favorite youtuber hosting my favorite youtube series

[nyanard]

10% comments: about AI itself, step function

90% comments: Why he hate bagels?

[tando]

The commitment is real, holding up 48 different donuts or bagels so a 'robot' can pretend to determine the outcome

[ASLUHLUHCE]

2:53 I had no idea neurons were this cute

[kaptongoogle]

Jabrils explains things using such a simple and understandable language. Love that guy

[AbrilAFerez]

Awesome, I love that this course is now available!

[ianrbuck]

It's important to note that Supervised Learning and Neural Networks don't always have to go together. You can train a neural network using a different method, and you can use supervised learning on AI models other than neural networks.

[cfromnowhere]

I wonder who ate all these 100+ donuts and bagels after filming

[erickricardoflores]

Guys I just want to say thankyou in name of HUMANITY! Your job is so important, and trust me im a communicator myself, I will spread this, and work for the utter common knowledge. Thanks, for real, THANKS.

[bekacynthia]

love his outgoing and chilled personality. But he talked about doughnout so much that I'm craving one right now. Lol!

[scentedcandle]

I absoutely love this series. Honestly so amazing.

[FC_DINDEYA]

This guy is the modern day Tim and moby from brain pop

[MTWolfgang]

Its so good to see a someone explaning something i learned in college, but this animations

[kendo]

Super helpful! Cleared up what bias meant in this context. Thank you!

[a_e_hilton]

Hey, what's all this hate on bagels about? I love bagels!