The generalized prices were already increasing.

And then you get a generalized price inflation.

There was a generalized famine at the time.

I've got generalized anxiety disorder, which is a given.

So I can easily generalized that everything falls down.

But then some of us generalized it further. And then it did!

They've understood there is a generalized concept of straightness, it's called a geodesic.

Think about a church steeple most people get this sort of generalized generic one.

You can read up on or you may have heard of GLR generalized LR parsing.

Everything is correct. I don't know what a correct input is. This cannot be generalized.

So let's see if we can use this with this information to get a generalized formula.

I want to clarify in further research to what extent the conclusions of this paper can be generalized.

Over here we've said we've generalized this for any product, we're not just saying for this 20 dollar product.

Our case line says, we can generalized it towards other objects and to come up with a more general hypothesis.

And so we're being careful in trying to look at these different models so we come up with a generalized approach.

And I think it's actually quite rare to have both malingering and generalized anxiety disorder, because malingering tends to make me feel very anxious.

By now, lets say, I want to take my fit hypothesis, this fifth order model and let's say I want to ask how well this model generalized.

We can now figure out the Laplace transform of a higher power in terms of the one power lower that, but it still doesn't give me a generalized formula.

But then I generalized it, when I did the Login version, and just made this work, this login function that multiple handlers can use, because we will have both the

Depression in the gay and lesbian population in those states went from 23 to 31 generalized anxiety went from 3 to 9 , and alcohol abuse went from 22 to 31 .

So, just to reiterate on the previous slide we saw that if we fit some set of parameters, say theta 0, theta 1, and so on, to some training set, then the performance of the fitted model on the training set is not predictive of how well the hypothesis we generalized the new examples is because these parameters would fit to the training set.