Fine Structure Constant

So at the same time that in telophase II these get pulled part, you have the cytokinesis.

It will create huge opportunities in technology.

Differentiation

We'll let R do the work.

And now I have a variance co variance matrix.

If psi is a function of x and y, and I would take not a partial derivative, I would take the full derivative of psi with respect to x, it's equal to the partial of psi with respect to x, plus the partial of psi with respect to y, times dy dx.

In our world we use about 350 polymers to make all this.

That's what a differential essentially is.

I expect you to see.

Dispersion

Variance

We're almost at the correlation matrix.

You've already dealt with vectors.

That's what this playlist will deal with, ordinary differential equations.

So, when we look at cells, this is how we really got involved in biology and sciences, by looking at living cells in the microscope.

lipid membranes in our body, starting with cells of the skin, the cells of organs.

Let me show you a video of what that does to the cell.

Similarly, this is going to be the partial derivative of psi, with respect to y, but when we do the test, we take the partial of it with respect to x so we get that mixed derivative.

Here we just use our implicit differentiation skills.

Eventually, this capital delta

So if this is an exact equation, if this is the exact equation, if we were take the partial of this, with respect to y, right?

A monitor for an Icecream compilation network

Distributed Process Launcher

Dispersion samples

Field variance?

And if I wanted to take the partial of this, with respect to no, I want to take the derivative, not the partial the derivative of this, with respect to x, this is equal to the partial of psi, with respect to x, plus the partial of psi, with respect to y, times dy, dx.

The problem with this is they were constrained with samples.

That's just dividing by N.

The mean is now a vector with 1 element for each of the variance.

Dispersion of the normal distribution

We see that indeed it was, it was 0.6.

So let's figure out what that is in terms of the derivatives of v.

And we're done.

Plus the derivative of this with respect to x is easy, 2.

But this you could almost use differential notation. dy is a differential and dx is a differential.

It's pretty cool.

Because those correlations were based on samples that had a broader range of cognitive ability.

We gotta split them up!

Our bodies are comprised of 10 times more microbial cells than our own human eukaryotic cells.

So now, if we consider this whole thing our new M, the partial derivative of this with respect to y should be equal to the partial derivative of this with respect to x.

Plus the derivative of this with respect to why is 3 times we're just doing the chain rule the derivative of y with respect to x.

Where psi sub x is equal to this function, is equal to 2x plus 3, and psi I shouldn't say sub x.

Well that's just y prime, right?

And how do we know that?