I will maximize the logarithm of this expression.

We sat around talking about Fourier transforms,

And, and I agree with you right now.

And so given that, in the last video I showed you that if we have to deal with the unit step function, so if I said,

So let me draw a function here actually, let me define a function here.

However, this term over here does not depend on what we assume for variable A.

So what's going to happen?

Precalculus class.

Laplace transforms. So let's do that.

We have this unit step function sitting right here.

Now, what were we doing here the whole time?

So m, the amount of money collected, is a function of the number of tickets he sells.

If we look at this expression, this is the expression that EM already minimizes.

So the first question is, well, you know, what if something doesn't jar just like that?

So what do we want to make our v prime?

You can see additional adjustments at place at times.

We provided this to you, and I think we showed you how to use regular expressions as well.

You have a c, a minus c, a minus 2, so c is 2.

Counting the number of hits of a single user

But they're not strong characters who happen to be female.

And we'll talk about unit impulse functions and all of that.

So if I define my function here, will this work?

So in all of these homogeneous equations and obviously, we don't know it's homogeneous yet.

So what if I had written it as so my unit step function's at zero initially, so what if I make it 2 minus a unit step function that starts at pi?

Flat shading

This function converts number from radian to degrees.

So we'll have A times the second derivative of this thing.

It's zero.

So what if I my new function, I call it the unit step function up until c of t times f of t minus c?

To find another interesting test, for this one, it's just a list is interesting if it contains three numbers in strict sending order.

We're defining a procedure that takes in 3 inputs the index, the URL and the content at that location

And it's defined as 1 that's why we call it the unit step function when t is greater than or equal to c.

Well, I think it's pretty obvious to you.

So that's all I did here.

Okay. So that's the cost function.

This is the Laplace transform of f of t times some scaling factor, and that's what we set out to show.

And the answer is C.

It was just that equation with one regression coefficient in it.

So this type of equation, this is more reasonable.

So how could I construct this function right here using my unit step function?

Well, let's say we wanted to figure out the Laplace transform of the unit step function that starts up at pi of t.

And I just want to show you that I can represent the behavior of this system with the differential equation.

You need to check every federal agency we have.

Leon, all we do is work.

But again, now that we're in multiple regression, this is not the same as the correlation coefficient.