So I'd have to write negative, we're assuming this is going out,

But that's not the only thing we have on the left hand side we also have these other three kilograms.

Because we'll see later in this video that to some degree, that assumption is one of the biggest drivers of assumption.

So this spreadsheet, I've plotted the normal distribution.

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

Our profit in the first period is 30,000.

And then we observe the value iteration converged and we're able to define a policy if we're assuming the argmax under the value iteration expression, which I don't spell out over here.

So let's for a second, just pick a point on this distribution over here.

If I can reset June's presentation to about 3 or 4 slides ago.

And in the previous videos, the constants all merged together.

Where'd you be, if he took a drop over and above, and had a fancy to go for you?

The audio level must not exceed 80 db.

They have all sorts of stuff.

We are in replay mode, however.

Let's work through an example

Whereas before we measured ranges or distances, now we measure bearings or angles.

looking at the coin.

It could actually be 90 as advertised and you were just unlucky, but we believe that high probability of this is correct or is the data actually contradicting this claim and you should complain that the claim is incorrect.

It is an example that is commonly studied in statistics classes.

That's just 1 s.

I'm trying to draw George Washington.

Remember, this is in a situation, if I assume that I don't have a blue forehead.

Because it is a little bit of a game.

That'll give us 450 students in 2005, if we assume the pattern continues.

And we can turn its heartbeat on and off by going in and out of suspended animation like you would a light switch.

Ivan.

The Laplace transform of 1 we just did it at beginning of the video was equal to 1 s, if we assume that s is greater than zero.

It could be function of just y.

So this greater than sign will become a less than sign because we're assuming that the x plus 2 is negative.

Well, now we got a problem.

This first section, the select , this is basically what we're selecting.

Maybe I'll experiment doing it the other way. but let's assume this is g prime of x, and let's assume this f of x.

What do I mean by large portions of data? Let me illustrate this by an example.

In fact, there's a function over here called set noise.

And in particular I'm going to set up an unfair coin

When you're done with this, you arrive at a number that now combines the cancer hypothesis with the test result.

Let me assume my velocity is 0.

I can save on lighting calculations each frame.

So what if theta 1 is equal to 0.5. What happens then?

And in this bright yellow, I say, what is the assumed annual appreciation of the house itself?

So, let's go back to that normal distribution.

But anyway, don't want to get too complicated.

But maybe y is equal to e to some constant r, times x.

So x minus 2, times x minus 1.

My first question for you is, to compute the confidence interval, assuming that we can use a confidence interval to detect outliers in the data.