The good news is what we've got here isn't an engineering problem.

You know what, June?

Your problem is not technology. The problem is you.

That's the easiest thing.

We're, experiencing technical difficulties.

There's no tactical damage, sir.

Critical failure

That's what I'm talking about as a last mile opportunity.

Psychological scars stemming from moral conflicts... and overt sexuality.

And they made extra problems for us.

And that's the difference between problems that are additive,

It's... much more than that.

But your weakness is not your technique.

We seem to be experimenting ... some techmological differences... so, uh, shit.

Then one last one. f of z.

This is a book on Optimal Transport, it is a problem involving mathematics, engineering, probability and geometry everything that was said.

When did you get through with your engineering problem?

And this has become such a norm of our professional lives, such a norm and such an expectation.

It's gonna pose quite a legal problem.

Well, we collect data from satellites, from airplanes, from ground vehicles, from people.

Is it really practical to make things of this sort?

Still a big number, but a big drop.

This is the central problem of postwar immigration.

Tactically, it makes no sense for juma to have chosen it as a base.

Question is, to what end.

(Laughter)

That was not about society itself.

Boarding of arc 3 will be delayed due to technical difficulties.

I have some... personal issues.

Let's take a contemporary example of the dispute about justice.

We made a tactical error.

But that feeling of puzzlement is structural to contemporary art.

In private.

So they are, intrinsically, a slower life form.

We can fly around them.

But the organizational problems!

This technology would give us a tactical advantage.

It turned out that they were aware, as no one else within the company was, of a technological blip that neither the forecasting experts, nor the experts on the ground in China, were even aware of.

I think it's great fun to work with technology.

Those machine learning problems are called regression problems.

And if it happens that he's not particularly good at sport or art, well, that doesn't matter.

I'll point to some of the work which, my students and I have been doing.

It's an important statistical term and in the end of this unit, you'll be able to use it yourself.

So this is a huge practical problem.

(Applause)