How fitting.

Carpet

And it's going to be a rectangle of some kind.

Except for flooring.

We talked about the fit from data and we even talked about multivariate Gaussians.

That wouldn't be a realistic distance.

LI'm completely lost. Sighs It's just carpet.

The algorithm is amazingly simple.

Find the width of the carpet.

And on this slide, I'm basically explaining all the problems you have.

So let's draw ourselves a carpet here.

The towels, my tux, my shirt.

We gave cycle rickshaws.

I'm going to be fitting very complex high order polynomials that might fit the training set with much more complex functions

They laid the carpet on the floor.

I put down a rug under my desk.

Find the width of the carpet.

For this quiz we will assume a degenerative case of 3 data points and just 1 cluster center.

We had this brown shag carpet in the house.

This carpet is one of the most beautiful.

This carpet feels nice.

And what they want to know is the width of the carpet.

I was just saying a general way to think about precision in significant figures.

I've always hated this carpet.

Curtains and carpets were renewed.

Got the Phat Farm hookup shag carpet, laptop, minibar.

And we got a free rug out of it.

This carpet was a real bargain.

This carpet is superior to that one in quality.

Antique carpets are especially valuable.

Hello, Bob.

especially police!

The size of the carpet is 120 by 160 centimeters.

The price of the carpet is determined by three factors.

I would like to do the same with video games.

As for the discussion of most of the learning algorithms, we're going to begin by talking about the cost function for fitting the parameters of the network.

This carpet is designed for residential use.

We're all unwitting victims of a collective blind spot.

Suppose we're fitting a high order polynomial like that shown here, but to prevent overfitting, we're going to use regularization, like that shown here, so we have this regularization term to try to keep the values of the parameters small.

Wasteful abusive and focused on labor productivity.

So you are currently breathing formaldehyde.

The cooking, the cleaning, the ironing, the shopping, hovering the carpets when they change colour...

In that case, given that we're fitting a high order polynomial, this is a usual overfitting setting.

The perimeter is the distance you need to go to go around the square.

We must buy a new carpet for this room.