We study again our die. You observe the following sequence 1, 2, 3, 2.

We find that along the main diagonal our uncertainty has shrunk substantially.

Obviously, it's 1 out of 4. It's 0.25.

And then we iterate.

What this says is based on the outcome, we believe for the parameter µ.

So what do they want to know?

There's many different ways to implement this.

We find for day 0 we had rain, and maximum likelihood would just say the probability for day 0 is 1.

Please use Laplacian smoothing for this with K equals 1.

In both cases you need to know the number of cluster centers, K.

Narrator And the answer is there's 8 different messages of which 3 are spam.

In both of the transitions we go from rain to sun. There is no instance of rain to rain.

In coin flipping, we flip n coins. In elections, we ask n randomly chosen people.

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Supposed suicide.

loss of sexual desire .

I just want to tell you what you've learned, because you did amazingly well.

With the appropriate definition of value, we would get the following formula, which is 77.

His death is a great loss.

We really hate it when we have to lose out on some money.

LADY CAPULET So shall you feel the loss, but not the friend Which you weep for.

And in the second box, give me an estimator that has one fake data point.

Now it does depend on how you measure it, of course, but one estimate has put the drain at 250 million dollars per day.

W 0, where 0 is your iteration number, and then you up with it iteratively.

The sum over all E of the mu is mu equals sum over i, xi.

And they estimated that 1.6 million years of healthy living are lost every year in Europe because of noise pollution.

Let me ask you again. Suppose you make 111 coin flips.

And it's really true.

Those 20 dollars might have been a quick lunch.

The idea is that we really hate it when things go into the red.

Or a great loss.

Stop estimating backup size

Simple extrapolation.

And this is probably the best estimate of housing prices I can find.

I will now teach you about estimators.

Because this isn't just the hypothetical retail value of some pirated movies that we're talking about, but this is actual economic losses.

It turns out that c is also the actual cost, because at the goal the h component is 0, and so the path cost is the total cost as estimated by the function.

Of course, that's just the time we're losing sitting through presentations.

Let me give you an algorithm that defines value iteration.

He made up for the deficit.

If you move to the right in the X space, then your loss decreases.

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Control estimates their descent at 100 meters an hour.