Now, doctors and nurses they too get trained.

Here's the cost function that we wrote down in the previous video.

We first turn left and down and then right.

Ships just pass in the night.

The cost comes in two different flavors.

Same with cheapest first.

The cost function we use for the neural network is going to be a generalization of the one that we use for logistic regression.

That's the variable cost.

Armed with these definitions, we are now ready to build the support vector machine.

The goal is worth 100. A straight motion costs 1.

And there are some reasons, some good reasons.

In London for one night only.

I just drew in magenta. The curve that I just drew purple and magenta.

Push her to the limit!

ANNOUNCER ( mellow theme playing ) ( violin music playing faintly )

For once, I agree with you.

One time is one time.

Sort of like me, I guess.

Man, that was an original pressing.

The second test is a great improvement on the first.

The first stage in a technology's advance is that it'll fall below a critical price.

Although it does do it for 50 dollars, there are some limitations of this approach.

Again.

Let's assume the cost for a bad match, when we match 2 colors that don't correspond, is 20.

And that's one of the limitations of these kinds of observational studies.

I was afraid that was just the one night.

I ought to break your stupid little neck.

Circle the block again.

Okay, let's go one more.

Just turn the one on the far right to the right.

It's much like on a jet.

BF Here we go, I'm taking it. (Balloon pops) (Applause)

If h is optimistic, then the estimated cost is less than the true cost, so the path p must have a cost that's less than the true cost of any of the paths on the front tier.

K equals one through four of basically the logistic regression algorithms cost function but summing that cost function over each of my four output units in turn.

For logistic regression, we used to minimize the cost function j of theta that was minus 1 over m of this cost function and then plus this extra regularization term here, where this was a sum from j equals 1 through n, because we did not regularize the bias term theta zero.

He had just been really stressed out by the wedding and by becoming a family with me.

This time you have eight.

My scarf.

There's a variable cost which is, each widget, they might have used some amount of metal and some amount of energy to produce it and some amount of paint if it's a painted widget.

View planned and actual cost

Once.

Everything was covered with snow as far as the eye could see.

I'll give my best.

Unless she's part mermaid.

One that I know of. How did you know?