I don't fit in anywhere I go ?

Concretely, if you fit some set of parameters theta 0, theta 1, theta 2 and so on to your training set then, the fact that your hypothesis does well in the training set, well, this doesn't mean much in terms of predicting how well your hypothesis will generalize to new examples not seen in the training set.

Either way they were going to eat it.

We keep the inner slope, but change the outer slope.

So the we have the neutron.

So Jawbone is a project that you're familiar with, and it has a humanistic technology.

A city fit for a king

Cats fit on the windowsill

It did not let up.

But somehow adding that example out there caused linear regression to change in straight line fit to the data from this magenta line out here to this blue line over here, and caused it to give us a worse hypothesis.

Now let's consider the model selection problem.

In later videos, we will build on this to talk about how to prevent in the problems of overfitting and underfitting as well.

Children fit in the snow

An ill beseeming semblance for a feast.

In the previous video, we talked about the form of the hypothesis for linear regression with multiple features or with multiple variables.

line of the ellipses like these, but you certainly cannot fit a more complex data set like that shown here.

Here is what we see coming.

Some crazy guy is giving a commencement speech.

Let's look at some more examples.

like vacuum tube technologies, and relay based technologies.

Now, so this is how we fit the parameters to this data.

Your father gave the same sword to two young princes.

How so?

I just can't go on any more.

He was moaning a bit.

So this seems reasonable so far.

So he comes to you and says

Done?

How the...

And fit in all the right places with lots and lots of star sapphires.

The image will be scaled to fit the desktop. It will be stretched to fit all four corners.

lambda is large, then you have a high bias problem and you might not fit your training set so well.

And the hose on that van is just about a perfect match...

1 WATCH Here is a friar, and slaughter'd Romeo's man,

It seems like a reasonable fit to the data, because, you know, it

But settling isn't always such a bad thing.

If you dare

How fitting.

How that sound?

And he looked like a peddler just opening his pack

One of the things we'll talk about later is how to choose and how to decide do you want to fit a straight line to the data or do you want to fit the quadratic function to the data and there's no fair picking whichever one gives your friend the better house to sell.

War, how awful

And so here we are.

We'll manufacture a car in the Nano Segment.

How accurate is this information?