(Music) (Applause)

So to choose the maximum, we just have to deal with these two probabilities.

My favorite is inventing a gravity shield.

Their parents are so poor, they have no resources to get them back.

You have to grow and explore and take risks and challenge yourself.

I shouldn't have skipped that step, but

Jump back one step

It's zero.

And what do we need to guarantee that?

If I change this, for example, by opening up this grid cell over here.

You know, once again, I'll give you a few seconds to think about that.

What we do is we have a probabilistic threshold that says what's the chance of this thing being mobile or not?

If obstacles, for example, look like this then from here it takes you more than 9 steps to get to the goal.

Well, if I just wanted to figure out the area of

Go back one step

You can get rid of that negative by just putting a 1 over this whole thing.

So if we go back to our original definitions let me show you that here.

Take this.

Step Speed Run the program one step at a time

Let me just go through that code line by line.

Nine times seven is sixty three.

Realizing that in some cases we will be holding at the 6 edges of the jaws, and other times at the three centers

So minus y squared.

As you can see, the number of steps might be either 3 or 2, but I can bound it by 3.

The answer ends up being 4, Xi µ σ² and the reason is the way the derivative works.

Go back to the previous tutorial step.

If I multiply this side by 1 2, if I essentially take away half of the mass, or I'll only leave half of the mass,

We have this unit step function sitting right here.

You might take a minute to just verify this, but this is exploiting the conditional independence very much as in the first step I showed you over here.

You repeat this going backwards throughout the program until you arrive at a place where the incoming data is same but the outgoing data is infected.

OK, so we don't even have to look at step 1.

Twenty nine minus twenty eight, to get our remainder for this step in the problem, is one.

No, we're not doing anything like that.

But anyway, let's get back to solving this.

Cannot finish this step because of an unknown error.

But let's keep things in proportion.

Cancel this operation.

left hand side.

Cut Click this to cut the selected area.

How do we go about debugging it?

Without going into detail, this is a measure of information that the distribution has, and it can be shown that the update step, the motion step, makes the entropy go down, and the measurement step makes it go up.

Can I cancel this ticket?

And we want 4 5.

This isn't any kind of fancy factoring.

So Search Inside Yourself how does it work?