We had knowledge about the electromechanical efficiency and then we can calculate the aerodynamic efficiency.

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.

There is a paradoxical relationship as I know as a psychiatrist, between adversity and fulfillment, between restraint and freedom, between the knowledge of the parts and wisdom about the whole.

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)

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.

The machine works by itself.

It's applying for legal, banking and medical jobs, and getting some of them.

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.

My equipment.

A machine.

Well, let's see.

What's that do?

If anything, all these numbers actually understate our progress, because the new machine age is more about knowledge creation than just physical production.

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.

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.

You now know a bunch about machine learning.

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

This is a bit of an art form here.

By all purposes and means,

Machine print