It's extremely unlikely given the assumption that everybody's healthy.

An assumption and only an assumption.

And this is a huge assumption.

That's why this assumption is important.

Given, that's that vertical bar, you can read that as given The assumption that the null hypothesis is true.

And finally there's this assumption of homoskedasticity.

And given that we do and that's the assumption everybody, I think, in this room would make when was that?

And this risk free is the big assumption.

Given, this means given

The conditional independence assumption of each pixel, given the class, is too strong an assumption in this case, but it's fun to talk about image recognition in the context of Naive Bayes regardless.

What the P value really means is it's the probability of obtaining this outcome given the assumption that the null is true.

More data? Making the Markov assumption rather than naive Bayes assumption?

That's just an assumption.

It's all assumption driven.

The probability of landing way out there given the assumption that the null is true is really low.

This is under the assumption that there's no parallel arcs.

Let's test this assumption by heading over to Eastern Europe.

Now this is a totally reasonable assumption, given that I have made quite a habit of encouraging people to spend more time playing games.

Because we'll see later in this video that to some degree, that assumption is one of the biggest drivers of assumption.

What about the second assumption?

And then this upper line, this means given given that

So this is the assumption that you get in on that.

This is a feasible goal, basically because, contrary to widespread assumption,

This brings me to the third, and perhaps most problematic, assumption

That's a big assumption, and we could test whether or not that assumption is valid.

Would it be helpful to make a Markov assumption rather than the naive Bayes assumption?

Using this assumption, he was able to explain some properties of light.

It's a reasonable assumption I think.

Stationarity assumption we can write as the probability of a word given the previous word is the same for all variables.

So given this angle.

So given this formula and given our input string

In this case, the problem really comes down to the naive Bayes assumption is a weak one, and the Markov assumption would do much better.

She put on an assumption of ignorance.

What he said bears out my assumption.

Given this data set, an

This formula is given here.

That's one of the reasons why making this naive Bayes assumption is so helpful.

There's another tradition that thinks it's opposed to this but accepts the worst assumption.

The second assumption which informs the American view of choice goes something like this.

The basic law, let's say here's an assumption.

I'm not at all comfortable with that assumption.

They're making some assumption about the discount rates.

The discount rate assumption is everything in finance.

I think six martinis is a reasonable assumption.

We'll do other videos where we talk about when it is a good assumption, when it isn't a good assumption.