And so they'll both underinvest because everyone's going to move out.

They really don't do that. It's missing.

No, sir. Hey, uh, Elly? Yes?

So the difference between the two is about 4.1 .

The judge was not impressed to the tune of 10.9 million dollars.

On a larger scale, this is a mash up of the data which was released about the Afghan elections.

This is a pocket of futureless language speakers in Northern Europe.

We didn't see anything like that in Africa.

And of course, that expansion was deeply implicated in the crisis.

Who is being favored the male students or the female students?

You saw the data.

Was this a predictable event?

I thank legendary rabbi, Jack Stern.

The nice thing about this is if you maintain these three things you only need a single pass.

Narrator So to start with some lingo about unsupervised learning.

As we've looked at the data about the results that have come as the complexity has increased, we found that the most expensive care is not necessarily the best care.

And let's run this code.

Now on the next unit, I will give you something that'll bend your mind.

Congratulations. You just learned about pie charts.

It's something that we build together because we think it's important.

I want to be very clear here. I'm not projecting some past data into the future.

I asked you to give me your data, to put your data on the web, on the basis that if people put data onto the web government data, scientific data, community data, whatever it is it will be used by other people to do wonderful things, in ways that they never could have imagined.

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Look at what's been achieved.

I do ... but they have Dubaku's database.

We're thinking of the highest data point minus the lowest data point.

When you click submit, what just happened?

So, 0.7 is the best guess for the correlation.

Y bx a. Please tell me what b is. Enter your answer here.

In Unsupervised Learning, we're given data that looks different than data that looks like this that doesn't have any labels or that all has the same label or really no labels.

Let's see if they congregate around certain ideas.

Based on archaeological data, maps, anthropological research.

We streamed data from the bedside instruments in their pediatric intensive care so that we could both look at the data in real time and, more importantly, to store the data so that we could start to learn from it.

Howard doesn't believe that there is such a thing.

I found some kind of digital storage device implanted under Dubaku's skin.

So the correlation coefficient of what we call r is 1 if the data is perfectly aligned for the line.

We could talk about government data, enterprise data is really important, there's scientific data, there's personal data, there's weather data, there's data about events, there's data about talks, and there's news and there's all kinds of stuff.

Show us the grades.

B seems to go to a minus infinity much faster than these data points and to plus infinity much faster with these data points over here.

You say, This photograph, it's about it depicts this person.

Okay, here's two theories about how people might think about this, and then we'll see some data.

OK.

They're not as true as they could be.

Following problems were found with the data you entered

We distinguish a number of typical inputs, each coming up with its own issues.