It's that grammar of balanced parentheses.

And then this term over here, this whole thing over here, is going to be plus p times 1 is p. p times negative 2p is negative 2p squared.

P reduces to or can be rewritten as open parenthesis P, closed parenthesis. or P can just disappear.

We could have let y is equal to force and m is equal to... or mass is equal to p.

but it's supposed to be an I in happiness.

Once again, based on this P, I'm going to start bringing in rules 1 and 2.

And if you want to factor a p out of this, this is going to be equal to p times, if you take p divided p you get a 1, p square divided by p is p.

Just to show you how this sort of thing plays out in Python,

You know,it's just a brief.

I'm sorry, sir, I thought you were reading the letter.

So that cancels out.

So this is going to be equal to 1 minus p.

Pascal Mondain has begun to read and write.

And the sentences are P or not P, P and not P,

Oh, sorry, we're not on the third, we're only on the second derivative. p, and I'll write prime prime, I was going to write a 2 there. p prime prime of x.

So our houses are also worth 1 million.

Let's say that this is our grammar

P of X3 given X1 is the sum of P of X3 given X1 and A times P of A given X1 plus the A complement, which is X3, conditional X1 and not A times P of not A given X1.

So, we're going to write this is a product from J equals one through N, of P of XJ parameterized by mu j comma sigma squared j.

In these other examples we were picking 30 percent, but now we can say it's p, it's the percentage off.

F, L, E, P, T, P L, E, P, F, L, F, L, E, P, T, P, L, F, E, T.

APPLE.

I'm going to make this p pink.

Now in probability terms, people often write it as follows

1 p to the 1 Xi. And this is actually quite remarkable.

And in the case of Jason's business

Write a piece of code that outputs p after multiplying in pHit and pMiss at the corresponding places.

Let me just do this over here.

So chart state 0 includes the following parse states

Now let's add that pink p to both sides of this equation.

So p times 1 minus p, which is a pretty neat, clean formula.

We sequentially go through these parameters.

Apply in writing.

Equity is what's left over. So let's say this is all book value.

The first one looks pretty good. I just apply rule 1.

Those are P51s.

P of happiness given S and R times P of S and R, which is of course the product of those 2 because they are independent, plus P of happiness given not S R, probability of not as R plus P of H given S and not R times the probability of P of S and not R plus the last case,

Another way to think about that is let's say that we're in a particular state like this one

In a letter.

P of A given B where B is the evidence and A is the variable we care about is P of B given A times P of A over P of B.

It takes 1 parameter to specify P of A from which we can derive P of not A.

So let's say that that's the nucleus and I'll just draw their p orbitals.

So, I can rewrite this thing over here as follows

P

p.