This would be the cell with the largest posterior probability.

So, this is my second column A, which is 2 4 6.

So suppose my data goes as follows.

For example. Here's a matrix where the columns of this matrix are

Here we're selecting from position 2 through position 4.

4s

4th

It's server set eye 4.

That's the first column, that's the second column, that's the third column So, this second matrix we say it is a 2 by 3 matrix.

I think you might start to see a pattern emerging.

He was the fourth.

Fourth of 4 starting points

So that means it's row one column one.

Just to say that again.

Last one.

The first column, is the IRQ number. The second column, is the number of interrupts that have been received since the last reboot. The third column shows the type of interrupt. The fourth, identifies the device assigned to that interrupt.

So this is 0th index.

And how fast has this happened?

This generates a three by two matrix A whose first row is 1, 2.

Tiddledee, tiddledoor, who is number four?

The fourth man!

All right.

I will not beat you to the answer on this one, but I will try to get the answer right.

Second matrix

Look. Third row.

Well this is a four by two matrix.

It is a 4 by 4 matrix, so I want you to fill in all of those values.

4 of a Kind

Fourtime vet.

And sometimes, if you want to do it four times...

The fourth photo.

That is plus 6, right?

So how do we get 37? Well 37 is row one column one of the product.

And, yeah, I'm third row, second from the left.

So I equals eye 4.

Row 23, Section C.

Right in the front, first seat.

So how do we do it?

Uday Sinha. Second row. Third seat

4th Last

( laughing ) Okay, off to bed with you.

Mohamed It's Salticus scenicus, the zebra spider.

You are the fourth.

So, this is my design matrix x with x0, the first column being the said term and the second term being you know, my the x values of my three training examples.

Here, this is a three by four dimensional matrix.