Networks as Big Data
29 mins 29 secs,
429.38 MB,
MPEG-4 Video
640x360,
29.97 fps,
44100 Hz,
1.94 Mbits/sec
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About this item
Description: |
Wolfe, P (UCL)
Monday 25 March 2013, 12:15-12:45 |
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Created: | 2013-03-26 16:26 |
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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. |
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Format | Quality | Bitrate | Size | |||
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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 | |
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