The last question asked, what is the maximum clustering coefficient for a node in B?

Two times the number of links divided by length of neighbors times length of neighbors minus one.

And then in the second segment we'll take a more mathematical approach.

If you go back and look at the scatter plot, you sort of see how we would get that value.

If you look at that data between axes x and y,

So if we wanted to compute the clustering coefficient of this graph, we'd actually have to go through node, to node, to node, to node, to node, to node, to node, compute the clustering coefficient for each one and then average.

Day counting basis

Periods per year

Periods

we start dealing with the idea of variables.

So that's the back propagation algorithm and how you compute derivatives of your cost function for a neural network.

That assumes we have two variables, x and y, that are continuous.

So the higher the value in 1 diagonal and the lower the value in the other diagonal, the stronger the correlation.

Maximum iterations

We take 2 64 4 100 168.

You also compute sums over all rows as well as sums over all columns as well as the total sum of events.

So just to remind you, here's some code for computing the clustering coefficient of a graph with respect to a particular node v.

What you then do is for each function you compute the five coefficient for each category as well as for its respective complement.

Scientific software package for numerical computations

Calculate expressions

So at least it makes sense in rough numbers.

But for the sake of time, I didn't wanna go through that here.

And what are these scientific uses?

It's always good to look at the data and guess it in advance, because then you can see if your math is actually correct.

No.

Remember the notation, the sum of squares and mean squares.

We're still doing ordinary least squares regression just like we did in simple regression but now we'll be using matrix algebra to calculate the coefficients.

And when you factor by grouping, you're going to split up this term, this 15x.

So sometimes a correlation can be thought of as just a descriptive statistic, we're just describing the relationship between two variables in a sample.

Genius Mathematical Tool and Calculator

Clearly, we cannot solve a problem analytically, and we can resort to numerical simulations.

And X1 and X2. Okay?

Calculate Fractions is fun!

Cannot calculate the factor on 0.

Cannot calculate the lcm of 0.

Value to which the standard normal distribution is calculated

The number for which the standard normal distribution is to be calculated

This was a huge leap, because Babbage is there saying,

But that math liberation didn't get into education yet.

So if you have 1 5 7 3 2 does not matter what order you do it in.

Consider the regression coefficient for the equation y bx a and the correlation coefficient.

This is the mystery binomial.

Or, you could actually subtract 5x from both sides.

I know it's a little confusing at first.

Calculators