Cats fit on the windowsill

Some crazy guy is giving a commencement speech.

Children fit in the snow

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

He was moaning a bit.

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

Here is what we see coming.

I don't fit in anywhere I go ?

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.

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

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

He trusts to you to set them free, Exactly as we were.

Let's look at some more examples.

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

It did not let up.

lambda corresponds a high bias where you might not even fit your training set well, whereas a small value of lambda corresponds to, if you can you know freely fit to very high degree polynomials, your data, let's say.

like vacuum tube technologies, and relay based technologies.

A city fit for a king

So, the mission statement and the vision of Coursera fits perfectly with my own mission and vision of teaching Statistics and this is why I do it for living.

This hypothesis, h(x), with these values of theta zero, theta one, it's really not such a good fit to the data.

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

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

The other thing I like about Coursera's approach is pedagogically, they emphasize mastery of material and again that fits perfectly with how I approach teaching

So there, the model would have been all three equations.

Either way they were going to eat it.

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.

I just can't go on any more.

That's okay.

And in fact, if you compare it to data, it fits very well with the development of cities and economies.

But settling isn't always such a bad thing.

So this seems reasonable so far.

I'm on a diet.

I'm Blake.

Here's one more, you know, at this value of theta zero, and at that value of theta one, we end up with this hypothesis, h(x) and again, not a great fit to the data, and is actually further away from the minimum.

I'm late and I'm leaving.

You are encouraged to experiment with the different styles until you find one which best suits your pattern of work.

We've already seen a lot of times the problem of overfitting, in which just because the

I'm doing my homework.

I am doing my homework.

I'm looking for my camera.

I am studying.

I'm studying.

I'm married.

I live in a rooming house.