Networks as Big Data
29 mins 29 secs,
112.72 MB,
iPod Video
480x270,
29.97 fps,
44100 Hz,
522.0 kbits/sec
Share this media item:
Embed this media item:
Embed this media item:
About this item
| Description: |
Wolfe, P (UCL)
Monday 25 March 2013, 12:15-12:45 |
|---|
| Created: | 2013-03-26 16:26 |
|---|---|
| Collection: | Newton Gateway to Mathematics |
| Publisher: | Isaac Newton Institute |
| Copyright: | Wolfe, P |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
|
| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Networks and other forms of "big data" present practical and theoretical challenges to modern statistics. From Facebook's graph search to large-scale recommender systems like Amazon's, how do we model mathematical objects that describe relationships and interactions rather than points in space? In this talk I will share research perspectives on this question and its implications for modern mathematics, statistics, and computing, from the points of view of both academic researchers and industrial users. |
|---|---|
Available Formats
| Format | Quality | Bitrate | Size | |||
|---|---|---|---|---|---|---|
| MPEG-4 Video | 640x360 | 1.94 Mbits/sec | 429.38 MB | View | Download | |
| WebM | 640x360 | 931.55 kbits/sec | 201.16 MB | View | Download | |
| iPod Video * | 480x270 | 522.0 kbits/sec | 112.72 MB | View | Download | |
| MP3 | 44100 Hz | 249.83 kbits/sec | 53.98 MB | Listen | Download | |
| Auto | (Allows browser to choose a format it supports) | |||||