So what is the parameter estimation problem?

A, B, C, D, E, F, G and I just carry on with the next set of letters in the alphabet, same scale

Uh, Priamos.

We'll no longer be held in the dark.

Suppose our data looks like this

I had some books, but... What? Were you nervous?

They'll know.

Next, we're going to loop through our training set.

Okay, I'll be patient.

Simmer down, I manage your mayhem, I'm bright as the A.M.

It turns out this first term simplifies to 1 M, sum over my training set of just that, X(i) Y(i).

Let's look right now at the analysis of the algorithm.

So what I want really is to sum over my training set.

I brought you guys together again.

Remember that Python strings and, in fact, almost all Python collections start counting at zero.

The optimal or most likely mean is just the average of the data points.

Well the variance, I'll just write out the standard formula again,

The (c) was one token previously we'd seen (i) tokens , so now we've seen i 1 tokens.

Let's say that we have an unlabeled training set of M examples, and each of these examples is going to be a feature in Rn so your training set could be, feature vectors from the last

And suppose we have a training set like this of this of

Then, it turns out that the matrix A times

So, I was in the Cape one time, and I typed the word simplicity, and I discovered, in this weird, M. Night Shyamalan way, that I discovered the letters, M, I, T. You know the word?

So, what we have for the support vector machine is an minimizationminimalization problem of one of 1 over m, sum over my training examples of y(i) times cost 1 of theta transpose x(i) plus 1 minus y(i) times cost zero of theta transpose x(i).

So Mu is the mean parameter, so I'm going to take my training set, take my m examples and average them.

We could then define the test error, using the misclassification error metric to be one of the m tests of sum from i equals one to m subscript test of the error of h of x(i) test comma y(i).

And since they're the same order, they're both four by two matrices, I can add them together, by just adding, each cell.

Off

off

The Queen turned crimson with fury, and, after glaring at her for a moment like a wild beast, screamed 'Off with her head!

Off!

Only matrices that are m by m for some the idea of M having inverse.

They are here to help us with our evolution and to gift us the technologies that they have had available to them in their evolution.

Let's say that we're looking at chart position i.

The deal's off.

Eight Off

Off

DHT off

Spellcheck off

RITOff

No, it's off.

m

M

M

M...

MM