You have physics bouncing around the world.

He's got the device.

So I made one.

And even before that people had looked at building mechanical systems.

We had so many motors, you know, aligning the joints, and those kinds of things.

This is a toaster, and a toaster is very different from a computer.

She's got it.

Self got the device.

The hardware he brought to the meet.

This is an autonomous machine.

lot of pattern matching.

Engage the support mechanisms.

It was such a revolutionary machine.

(Applause)

Was due to mechanical failure?

Mechanical failure. correct.

Welcome to the machine learning unit.

I want you to just pause and think of that for a moment.

Certainly not a computer. You know me.

The machine works by itself.

Most of my spam I never see, but who knows what's going to happen with the future?

So that we can get a sense of what we can expect them to do.

Here's what they found out.

This is a device that lets you see your music.

He's got a heart like a machine.

My equipment.

A machine.

Well, let's see.

What's that do?

There's books written about it and courses taught about it.

Let's pretend right here we have a machine.

The term I use in the book, I call it the ego trick.

You may check me for rain if you like, Counselor, but I assure you there is no water ...

This machine this machine on my lap... he has a time machine.

In both cases you're given data, but in 1 case you have labeled data, in another you have unlabeled data.

It won't, and it never did.

Machines making machines.

YES, BUT NOT THESE BABOONS AROUND HERE. THEY'D THROW IT AWAY.

You got a lot of stuff here.

I saw a man not a machine.

Machinery robs work of creative interest.

What kind of machine?

Then, they align their machines to the same position and finally cycle through the identical operations to achieve identical sequences.

This fall quarter, Stanford University will be offering online for free, the Machine Learning class that I teach.

No epsilons, no ambiguity.