And the way we estimate that is to rely on the principles, of the central limit theorem, and calculate standard error, by looking at the standard deviation, in our sample, and the size, of our sample.

Right, that's sampling error. And how much sampling error we expect on average is standard error.

It requires hundreds of steps, and it takes a long, long time.

Remember, only move the screws in small and equal amounts

So here again is how this works.

We have obtained topographic measurements of the surface of Mars.

And of course, this is the definition of the test set error if we are using linear regression and using the squared error metric.

Vector Difference

That's half our supply!

If we did it in wood, in this solution, we'd sequester about 3,100 tonnes, for a net difference of 4,300 tonnes.

So in the example we did, h was the difference between our 2 x values.

Or another way of writing it, it's change in y over change in x.

But velocity once again is a vector quantity.

Amount red

Amount green

Amount blue

Black people are just as happy as white people are.

Or if I wanted to rewrite that, I could just write that as, the magnitude of the displacement times the magnitude of the force times the cosine of theta.

How much blood was on that seat, would you say?

In fact, it's the average quadratic deviation from the mean.

Ball mass

Particle mass

Having done that, finally, what

So that's a nice thing too.

It would take as many human bodies to make up the sun as there are atoms in each of us.

We removed the outliers using a very context dependent method of just thresholding.

And literally what it means is that in any population of living organisms you're going to have some variation.

We could then define the test error, using the misclassification error metric to be one of the m tests of sum from i equals one to m subscript test of the error of h of x(i) test comma y(i).

So, you've got a thing on the left, CO2, that you want to get to zero, and that's going to be based on the number of people, the services each person's using on average, the energy on average for each service, and the CO2 being put out per unit of energy.

That is your change in y.

Amount

Ink Amount

Amount

Selection Brush

How would you delight these customers?

You divide it by the amount of peop...

Differences

Difference

Example curves tool

Run!

That's that universal gravitational constant G times the mass of object one, times the mass of object two.

So its slope is just delta I'm still using the line tool again delta y over delta x.

So let's figure out the slope of this line.

Concretely, for the high bias case, that is, the case of under fitting, what we find is that both the cross validation error and the training error are going to be high.

Lower limit on the sound volume