Chronic viral ulcerative lesion.

A canker, as he put it.

(Laughter)

So I'm going to put the slide up now. It won't be up for long.

An ulcer forms in the stomach.

This is the reality of diabetes.

Ask my ulcers.

But inevitably, these tumors progress towards being enormous, ulcerating tumors like this one here.

She has cancer of the liver as well as diabetes, and has decided to die with what' s left of her body intact.

Probably a 24hour tumor. They're going around.

You don't have a tumor.

This one in particular sticks in my mind, because this is the first case of this disease that I saw myself.

Henriapi illustrates this phenomenon as well.

Peter Molyneux Squashing a snail may not seem important, but remember, even this choice will affect how Milo develops.

Only instead of, you know, good and bad cancer tumors or benign or malignant tumors we instead have diabetes or not and so we will use that as a supervised, we will solve that as a Supervised Learning problem just like we did for the breast tumor data.

So on. So this example...

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

In 2004, Swartz leaves Highland Park and enrolls in Stanford University.

So, if angiogenesis is a tipping point between a harmless cancer and a harmful one, then one major part of the angiogenesis revolution is a new approach to treating cancer by cutting off the blood supply.

We didn't sequence his genome.

In man as well as herbs, grace and rude will And where the worser is predominant,

Here's an example of a training set for a classification task for classifying a tumor as malignant or benign and notice that malignancy takes on only two values zero or no or one or one or yes.

That's counterindicative for a hemorrhagic tumor.

That's another classification problem, and earlier we also talked about the example of classifying tumors as a cancerous malignant or as benign tumors.

I want to tell you something, she said,

Walt, your tumor has shrunk by 80 percent.

Tumors?

Crush.

The cancer.

Crush him.

I'll... Please, please, please...

Let's see you want to look at medical records and try to predict of a breast cancer as malignant or benign.

What does that mean?

If someone discovers a breast tumor, a lump in their breast, a malignant tumor is a tumor that is harmful and dangerous and a benign tumor is a tumor that is harmless.

A hamburger smashing video game

And this has been demonstrated in a whole raft of fascinating studies comparing one kind of placebo against another.

Women suffer from that disease.

And one afternoon, I got a call from my doctor.

What is it? A tumor?

And a different set of patients, they look a little different, whose tumors turn out to be malignant, as denoted by the crosses.

So instead of drawing crosses,

So given a data set like this, what the learning algorithm might do is throw the straight line through the data to try to separate out the malignant tumors from the benign ones and, so the learning algorithm may decide to throw the straight line like that to separate out the two classes of tumors.

Squash.) ... yes to decide.

She's going to press.

Moses'll take them apart.