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.

What about CIC's data search?

But it's not about questions. It's about data.

We talk about drowning in data.

So statistics is all about data.

Data, data, data...

Let's think about data for a bit.

In fact, data is about our lives.

It's about a year's worth of data.

So it is with data. I could talk about all kinds of data.

Bing! That's data. Data, data, data.

So what can scientists learn about this data?

Yeah, yeah, data entry, like we talked about.

And that is what linked data is all about.

We talked about the fit from data and we even talked about multivariate Gaussians.

The discussion is all about images on the computer, data.

Now let's talk a bit about how to manipulate data.

And it's because I'm giving you critical data about me.

And I know 200, I know about the small data.

So think about the data from a crisis text line.

Other data has the music industry at about 45,000 people.

Say sorted data is data.

It's really great about the real world as we gain more data like the world wide web or medical data sets or financial data sets.

little data, old data, no data. So back in 1995,

Data

Data...

Data

Data

Data

Data

Think about how much of that data is about how life is lived in America.

like DNA data or brain data.

Raw data now! Raw data now!

I'm going to talk some about how computers actually store data.

There's a concept that people talk about nowadays called big data.

It's kind of like Irene talking about Google being data driven.

Tell me a little bit about mapping. Data visualization using maps

You may be given some data points, and you might worry about what is the best Guassian fitting the data?

That would correspond to about 50 megabytes of data, which is small when you think about the data we can handle today just on normal mobile devices.

That would correspond to about 50 megabytes of data, which is small when you think about the data we can handle today just on normal mobile devices.

looking at wind data and solar data.

So if you think about the amount of data that is being produced today, database systems are handling terabytes of data, sometimes even terabytes of data every day.

I will now talk about fitting Gaussians to data or Gaussian learning.

I also talked about community generated data in fact I edited some.

UNAlDS have done good data available, finally, about the spread of HlV.