Intro to Big Data: Crash Course Statistics #38

Today, we're going to begin our discussion of Big Data. Everything from which videos we click (and how long we watch them) on YouTube to our likes on Facebook say a lot about us - and increasingly more and more sophisticated algorithms are being designed to learn about us from our clicks and not-clicks. Today we're going to focus on some ways Big Data impacts on our lives from what liking Hello Kitty says about us to how Netflix chooses just the right thumbnail to encourage us to watch more content. And Big Data is necessarily a good thing, next week we're going to discuss some of the problems that rise from collecting all that data.

Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:

Sam Buck, Mark Brouwer, James Hughes, Kenneth F Penttinen, Trevin Beattie, Satya Ridhima Parvathaneni, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, D.A. Noe, Shawn Arnold, Malcolm Callis, Advait Shinde, William McGraw, Andrei Krishkevich, Rachel Bright, Mayumi Maeda, Kathy & Tim Philip, Jirat, Ian Dundore
--

Want to find Crash Course elsewhere on the internet?

[oliverblake]

Anyone else have to watch this for home work

[sarahebert]

I am honestly so proud of these two brothers. They're so intelligent and ambitious, and they really are the definition of changing the world. Looking for Alaska will always be my favorite book, and I am really happy for how these two men have turned out. They're brilliant, and they're good people. I will always support these two. <3

[SatishchandraSalam]

"Big data is like teenage sex:
everyone talks about it,
nobody really knows how to do it,
everyone thinks everyone else is doing it,
so everyone claims they are doing it..."

[zanemiracle]

06:35 "information such as location and SPEED..."

06:40: "This information isn't particularly useful to anyone..."

Imagine if virtual ticketing was a thing. "Sir you were going 75 on a 50 mph road according to Google maps at 03:27. Per this email (or mail), you are now being fined for (insert amount here) gg"

[jameswhitfield]

Just thinking there should be a 10 sec summary of, "this is what we learned in this video. " good stuff.

[gardenhead]

Remember: it's now how big your data is, but how you use it

[camilaavila]

This is amazing! Thank you for existing!

[bigmike]

Personally it seems unsettling that one's Behavior can be so accurately maped with an algorithm and sufficient data. Doesn't that lend itself to large populations being heavily influenced if not outright controlled?

[gigachad]

Nice vid!! And Pleasee do Multivariate Analysis :(

[criskity]

Liked. And stored in the Big Data corpus.

[dummypg]

There is no such thing as privacy when you put everything on the internet. It is just a matter of who is looking on it.

[keverenguillou]

We're discussing big data in my Communications course at the moment, so this is definitely gonna come in handy for my final

[shuashua]

I am definitely using this and apparently the next video in my GP class. Thanks for posting.

[abhijitborah]

Mind reading is almost there. Skynet, when it takesover, may never get noticed. Great video, thanks.

[imcaetano]

Im going to use this video in my industrial economy class presentation

[geographconcept]

I haven't been following Crash Course Statistics but this sure is interesting!

[rkpetry]

*_...'yeah' but when people watch a video, the maker wants to know where, they're stopping or skipping, where they've backed-over and rewatched a scene, when they've used the slide bar to find interesting images, what portion they've actually, watched, not just listened-to... big data needs get much, bigger, before it'll be useful, data... this is partly that question I asked episodes ago—as to whether statistics can reconstruct its source..._*

[zanemiracle]

"00:05 you may have seen an ad before this video" ads...been a long time since I've seen those on YouTube (YouTube premium user)

[jeanqnguyen]

This is depressing, but what the hell, Liked !

[avi]

Which company generates most of the data per year?