That is the signal broadcasting system sending out the stop signal.

Welcome to the machine learning unit.

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.

Don't let that thing out of your sight.

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

This is an autonomous machine.

lot of pattern matching.

It was such a revolutionary machine.

(Applause)

One final note

Was due to mechanical failure?

Mechanical failure. correct.

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

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.

You have physics bouncing around the world.

Here's what they found out.

This is a device that lets you see your music.

And I drove up in my rented Vauxhall.

My equipment.

A machine.

Well, let's see.

What's that do?

Once again, perceptron converges to a correct linear separator if such linear separator exists.

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 ...

It won't, and it never did.

Machines making machines.

Just look at the VCR back there...

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.

And it's moving forward, you know, propelled by various charges, and then the soul steps in and tweaks those molecules so that they connect.

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

Let's analyze the machine.

No epsilons, no ambiguity.

This is a bit of an art form here.