That's a tough question. And different statisticians take different approaches to this.

But this is this is a sign of progress, I mean we are halfway there at least for some of these categories.

So how can you live little?

The physical origin of this field is completely unknown and it's very much ad hoc. It was invented just to make cosmological constant today.

Where do we stand on 3D reconstruction?

That's not good enough. We need to be able to localize the object, mark the key points and so on.

The first is the so called deformable part models due to Felzenszwalb et al.

Hi. Welcome to the second segment, of lecture two, on descriptive statistics.

The vector parts need not to correspond to anything semantically meaningful.

That means improvise.

In particular, we'll, we'll go through the logic again.

Oh, for Al Gore to come and be in the real world as president.

But now here comes the real convenience.

(Laughter)

I take that from Bob Evalson.

Uh, which I prefer. Uh, so we'll go through that example one more time.

Is it nature, genes, or is it nurture?

We really want to know th is, is the cat's head, this is the cat's tail and these are the pixels corresponding to the cat.

But what we really need is one for the interactive segmentation approach.

And I want to talk today about one of the things that we decided to do, which was to think about a new way of approaching healthcare.

Now, when we deal with more complex objects like people in general poses or dogs and cats, we find that these are very non rigid.

Meaning, the predictors are correlated, so x1 and x3 have a little bit of overlap, and x2 and x3 have a little bit of overlap.

So if we have the limit as x approaches c of f(x) divided by g(x), this is the exact same thing as the limit of f(x) as x approaches c divided by the limit of g(x) as x approaches c which is going to be equal to

That's a good approach.

The, there is something that couples them through 9 orders of magnitude in size.

And the asymptotes, they're these lines that the hyperbola will approach.

Do we want everybody to know your lovemaking is lame? Oh, maybe because you named my penis.

So, that last thing I want to talk about in this segment is, just the difference between two types of approaches with multiple regression.

The first year budget was 250 million US dollars.

Look at Penn State.

But it's not really what is probably most efficient.

In the first segment, I'll take what's called the regression approach to doing mediation.

People, this is the biggest investment of their life.

As delta x aproaches zero of change in y over your change in x and when you do that you are going to approach that instantaneous rate of change you could view it as instantaneous slope at that point of the curve.

That too will depend on the validity of our measures and again in, in lecture five we'll talk about validity in more detail.

Already, we can see that Apple and Microsoft have a severely divergent approach to software design.

Let me demonstrate how it works.

And now let me turn to the second approach, which is complimentary.

They also use their right hemisphere for making connections with the world.

We can call it the engineering approach, and I claim that the engineering approach is within range.

(Applause)

And for every one I know, I drew this myself. Thank you.

I want to change yours.

One, you say, well this is an approximation.

So what's the limit of this as A approaches infinity?