So here's a summary so far

You know, this is a conference inspired by nature.

By 2050 though, it could become efficient, connected and distributed with elegantly frugal autos, factories and buildings all relying on a modern, secure and resilient electricity system.

We'll let R do the work.

How long before next rocket can be launched, somewhere.

So you guys got rid of this? gt gt Right.

Dispersion

Variance

So James Surowieki has this idea of the wisdom of crowds, that says that a whole bunch of people are smarter than any individual.

CA But you yourself get a long term commercial benefit from that power.

So the stars in elliptical galaxies have largely random motions.

We're almost at the correlation matrix.

Should not France abandon immediately and unilaterally its dangerous nuclear arsenal to become able to reinvest every year 5 billion euros of its budget in the decentralized production of renewable energy and to initiate for real a total global nuclear disarmament ? and to initiate for real a total global nuclear disarmament ?

Maybe you could explain what S3 is an how it works. gt gt Sure.

A monitor for an Icecream compilation network

Distributed Process Launcher

Dispersion samples

Field variance?

That's just dividing by N.

And now I have a variance co variance matrix.

Dispersion of the normal distribution

It's pretty cool.

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

We gotta split them up!

It's equivalent to exploding 400,000 Hiroshima atomic bombs per day 365 days per year.

What it amounts to is a giant distributed utility.

Nano engineered fuel cells could provide the energy where it's needed.

So those would be the high peaks of the density field.

Cube of 2, 8 or close to 10.

If you'll look on your health certificate cards you'll find your type.

Micro background photons, which is energies of one four thousandth of an electron volt, but early times, the energies are correspondigly larger, and inflation happened when, particles had energies of ten to the sixteenth giga electron volt.

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

Every time you do so, some of the energy contained in the original fuel is lost.

The way you get that is divide the 6618 by 83. How about the variance?

The solvents in them do that very efficiently.

We're going to use these throughout this entire course are standard deviation and variance.

I'll get rid of my body's excess water.

I feel like taking a walk.

We see that indeed it was, it was 0.6.

That's the same as σ 2 over 2, which means a new variance squared is half of the old one.

Did it touch the bone?

And I want to show you one of our tests.

It's not enough, a new materials.

Now this looks a little bit wild, and this is probably the worst formula you've encountered in this class in terms of complexity but once you dived in, you'll realize this is really related to a lot of stuff you've seen before such as variances and similar.

And here are some velocity profiles of elliptical galaxies.