These are old faculty salaries.

I don't know what you do.

We actually think the future's going to be event driven.

And then I'll observe again the 2.

If they understand which way, say, a blown tire affects their dynamics. There has been a lot of work on this.

We have no idea what he'll do when he gets in that room with Burnett.

So that's a toggler.

And who knows?

Have you anydea how he intends to do that?

You won't see the next one coming either.

Because we can anticipate, forecast what the speaker is likely to say.

But as theories go, it had a problem.

There's also a measurement update step where we use the measurement z.

And the reason that we need to use science is because then we can reproduce what we're doing it's not just wisdom or guesswork.

Here are my best guesses. Okay?

That guy could be a problem.

The wind can often be unpredictable

Try to feel his next movement.

What did you expect when you made it?

Forecast

And here a token is a substring with a decisive meaning.

You encode it into equations.

We can't predict any particular project, but the result of this whole worldwide, chaotic, unpredictable activity of competition and the evolutionary process of technology is very predictable.

'Cause you may think you know what he's capable of, but you have no idea what I'm capable of.

Bush count 'em again ... You can violate your expectations about experience.

Difficult question, simple answer nothing.

Anticipation.

Formally, this operation of bringing in everything that c could become, because we're expecting to see a c, is known as predicting.

The arrow calculation, the matrix S with a transpose, the Kalman gain K with the inverse, back to my next prediction and my measurement update, and this is the prediction step.

They can keep this information straight and that means that we can process the information.

Here is the demand forecast for 1998.

But most of the world in the middle are pushing forwards very fast.

There's different things you could try to do with machine learning technique.

Casualties will be high,about 18,000.

There's a new covariance matrix, and for the third observation followed by the prediction, the prediction is correctly effectively 4, 3.999.

Is that good or bad?

This could be the cause. This could be the cause. This could be the cause.

It is unexpected what breaks out.

We cannot predict what will happen.

I mean,there was never Gonna be a happily ever afte

And they're predictable. So it's not hard to design

We can violate your expectations about shape.

I should have seen this coming.

First time we ever tried it.

With any luck at all, we may be able to anticipate where in the infrastructure they're targeting next.