So 0 may denote the benign tumor and 1 positive class may denote a malignant tumor.

Another name for the class that we denote with 0 is the negative class, and another name for the class that we denote with 1 is the positive class.

And I'll denote that by capital I.

I'm using z to denote data transpose x.

So we can denote that with a transformation.

let me just denote this as theta superscript 1.

XiCV, YiCV to denote the i cross validation example.

An incredible surprise move regular expressions denote regular languages.

Where as I am using A to denote this first term, and I am using B to denote that second term, may be without the

Gussian distribution is parameterized by 2 parameters, by a mean parameter which we denote Mu, and a variance parameter, which we denote by sigma squared.

And we're using these subscripts to denote my four different features.

L to denote the total number of layers in this network.

I to denote the input features of the I training example.

And if we do this for more and more examples using the pluses to denote cars and minuses to denote non cars, what we'll find is that the cars and non cars end up

We're going to use to denote assignment, so it's the assignment operator.

I'm going to use lowercase n to denote the number of features.

So these numbers are the numbers which denote the roughness of these surfaces.

And I am going to denote the test error as j subscript test.

inaudible notation, I'm going to use (x, y) to denote a single training example.

Y to denote the variable, the output variable price that we're trying to predict.

Let me use lowercase x to denote the input variables often also called the features.

And we can denote the 0 vector by just a big bold 0 like that.

And started to use different symbols, circles and crosses, to denote malignant versus benign examples.

Our first coin is a fair coin, and we're going to denote the outcome by X1.

And then, in addition to the transition, we need a reward function which we'll denote R.

I'm going to denote that M subscript cv, so that's the number of cross validation examples.

I'm going to use this notation, h of x subscript i, to denote the ith output.

We have complete control over his blush responses, the diameter of his nostrils to denote stress.

And set the value one to denote an account that has been hacked into. So just

And here, I'm going to use the notation m subscript test to denote the number of test examples.

And then, I'm gonna use a and b to denote the results of the two recursive calls, okay?

Art thou a man? thy form cries out thou art Thy tears are womanish thy wild acts denote

Regular expressions, finite state machines, formal grammars these all denote or accept or correspond to sets of strings.

I'm going to use different symbols to denote my benign and malignant, or my negative and positive examples.

In JavaScript, we use curly braces and closing curly braces to denote this sort of lexical or syntactic scope.

And n is different from our earlier notation where we were using n to denote the number of examples.

And in order to explain some of the math, I'm going to use z to denote failure of transpose x here.

C. To denote the output array. So this is what we're suppose to spit out with the numbers in sorted order.

And I'm going to keep using X's to denote my malignant tumors. Okay? I hope this is beginning to make sense.

I'm going to use this word damage to denote these intermediate things that are caused by metabolism and that eventually cause pathology.

That's this little tilde as distributed as and then to denote the Gaussian Distribution, sometimes you're going to write script n, parentheses

If you wanted to have parallel arcs, you could just have Aij denote the number of arcs that are between i and j.

I'm going to use a superscript j subscript i to denote the activation of neuron i or of unit i in layer j.

I'm going to use also Xi subscript J to denote the value of the J, of feature number J and the training example.

And for the second problem, I would treat that as a classification problem, because I might say, set the value I want to predict with zero, to denote the account has not been hacked.