A vergence, you say?

b_n converges to b.

Maximum iterations

This algorithm doesn't converge.

I have encountered a vergence in the Force.

And in order for an infinite series to come up to a sum that's not infinity, they need to what we say they need to converge.

If this expression over here,

If this increases faster than this approaches 0, then this will diverge.

I was late for the appointment.

This is how she gets information about her world.

So I'm graphing here and we only had to go through 100 trials.

They're all converging in a fiveblock radius.

A convergent sequence is bounded.

EM is probabilistically sound, and you can prove convergence in a log likelihood space.

It's not trivial, but give it a try.

You are holding the key of it. The Fukushima accident hasn't been resolved yet.

He has promised never to be late again.

He is apt to be late for the appointed time.

We didn't have to go through 500 so it's converging much faster.

You're gonna need my help to control it.

I won't go into the mathematics of whether this converges or diverges, but let's just say, in very rough terms, that this will converge to 0 if f of t grows slower than e to the minus st shrinks.

This is the explain away case.

And so, this is the, at this point,

No, sir, I'm just... I'm runnin' behind... and I really need to make a call.

So we proved, hopefully, we didn't prove it definitely converges over the entire domain of the function.

Suppose we have 2 initial cluster centers, shown here in red, and those converge to possible places that are indicated by those 4 squares.

They're opening fire.

Paul makes it a rule not to be late for his appointments.

Paul makes it a rule not to be late for appointments.

I took a bus so as not to be late for my appointment.

I took a bus so I wouldn't be late for my appointment.

She is rarely late for appointments.

Thank you, Mr. Decker, but we already have it under control.

I make it a rule never to be late for appointments.

But as Bellman has shown a while ago, this process of updates converges.

look at the map. This is the definition of the gradient descent algorithm.

I'm going to talk about sheep, too.

With all due respect, Mrs. Timkin, it's a little late for that. And we do have the firm offer from Illustra.

He's late, he's late, he's late!

But in the last four years,

You are ten minutes behind the appointed time.

It'll slightly overshoot, and that could be okay.

Obvioulsy as we now iterate k means, these clusters that have been moved straight over here will be able to stay, whereas C2 will end up somewhere over here.

They're an operator, they're not an engineering firm, so that you've really got the wrong skill set.

He often mistakes the time, and is late for his appointments.