These are old faculty salaries.

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

Now we just repeat. We look at the next measurement. We weight particles accordingly.

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

And in this example, I wanna use working memory capacity to predict, SAT.

The other equation is the prediction equation, so let's go from X1 to X2.

Is that good or bad?

And they estimated that in 2008,

And then I'll observe again the 2.

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.

Do research where two models are competing against one another.

You have foreseen this

Forecast

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.

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

Agent Farnsworth is running scenarios.

Your uncertainty shrinks to 3.99, which is slightly better than the measurement uncertainty.

They're in really good shape to anticipate what we're going to want next.

You obviously do what the precautionary principle suggests, you try to anticipate it, but after anticipating it, you constantly asses it, not just once, but eternally.

Anticipation.

Before, when we just did simple regression, that was our equation.

They'll say, I think this company is not going to change.

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

What I'm going to try to do is explain to you quickly how to predict, and illustrate it with some predictions about what Iran is going to do in the next couple of years.

And the crypto theme is

If we invoke square root with 1, then we will actually violate the implicit precondition.

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

Alright, lets turn to Iran.

We can violate your expectations about shape.

Contrast this with a child with autism playing the same game.

I don't know what you do.

In Kalman filters we iterate measurement and motion.

Become unpredictable.

Here are my best guesses. Okay?

let's say they're just really good at their analysis and figuring out market psychology and things like that.

First, we reached line 9, then we step we reached line 11, then we step we reached line 13, and then we quit and this is precisely the output we would have expected.

I want the output to now tell me that my next prediction is 3. It's the observation plus the prediction.

Neither did we... sir.

And it goes over here?

Take upstairs.

We're expecting resistance

And at this point, we decided

Here, I'm mostly just assuming still observational studies.

Every time I use them, I just look them up.

Well, I'm going to project into 2050.