veyepar: Python-based data science to understand knowledge discovery and expertise: A science perspective

Hi user

Admin Login:

Name: Python-based data science to understand knowledge discovery and expertise: A science perspective
--client chipy --show chipy_march_2016 --room Bank_of_America_Plaza 10840 --force
Prev: 0 Job Market
Next: 11 The wonder and the horror of the mock module

show more...

Author(s):	Daniel E. Acuna
Location	Bank of America Plaza
Date	mar Thu 10	Days Raw Files
Start	19:17	First Raw Start	19:12
Duration	0:45:00	Offset	0:04:59
End	20:02	Last Raw End	20:14
Chapters	00:00 0:27:36
Total cuts_time	41 min.

http://www.chipy.org/
raw-playlist raw-mp4-playlist encoded-files-playlist host tweet mp4 svg png

final audio

assets release.pdf Pythonbased_data_science_to_understand_knowledge_discovery_and_expertise_A_science_perspective.json
logs
Admin: episode episode list cut list raw files day marks day marks day image_files

State:
Locked:	clear this to unlock
Locked by:	user/process that locked.
Start:	initially scheduled time from master, adjusted to match reality
Duration:	length in hh:mm:ss
Name:	Video Title (shows in video search results)
Emails:	email(s) of the presenter(s)
Released:	has someone authorised pubication
Normalise:
Channelcopy:	m=mono, 01=copy left to right, 10=right to left, 00=ignore.
Thumbnail:	filename.png
Description:	All kinds of businesses are using data science and machine learning to understand themselves, lowering costs, engineering better products, and improving customer experiences. Similarly, we use data science to improve science itself, understanding how scientific topics are discovered and modeling institutional expertise. In our work, we use a combination of Python-powered big data analytics and web-based tools to achieve this goal, including pyspark (http://spark.apache.org), scikit-learn (http://http://scikit-learn.org), Django (https://www.djangoproject.com/), Celery (http://www.celeryproject.org/), and or-tools (https://developers.google.com/optimization). First, we will present the infrastructure behind Scholarfy, a recommender system for massive scientific conferences (http://www.scholarfy.net). We will also present a machine learning approach to automatically match expert scientific reviewers to research proposals (http://pr.scienceofscience.org). Finally, we will present the work behind our award-winning visualization, World’s Science Map (http://map.scienceofscience.org), where we modeled the institutional expertise, collaboration network, and funding of all institutions in the world. At the end of our talk, we will argue that Python-powered data science can improve not only businesses but also science, making it more agile and accurate. markdown
Comment:	production notes

2016-03-10/19_12_14.dv Apply: 19:12:14 - 19:17:13 ( 00:04:59 ) S: 19:12:14 - E: 19:17:13 D: 00:04:59 show more...

vlc ~/Videos/veyepar/chipy/chipy_march_2016/dv/Bank_of_America_Plaza/2016-03-10/19_12_14.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	19:12:14		seconds: 0.0 Wall: 19:12:14
Duration	00:04:59
	19:17:13		seconds: 0.0 Wall: 19:12:14
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2016-03-10/19_17_13.dv Apply: 19:17:13 - 19:44:49 ( 00:27:36 ) S: 19:17:13 - E: 19:44:49 D: 00:27:36 show more...

vlc ~/Videos/veyepar/chipy/chipy_march_2016/dv/Bank_of_America_Plaza/2016-03-10/19_17_13.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	19:17:13		seconds: 0.0 Wall: 19:17:13
Duration	00:27:36
	19:44:49		seconds: 0.0 Wall: 19:17:13
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2016-03-10/19_44_50.dv Apply: 19:44:50 - 19:58:46 ( 00:13:56 ) S: 19:44:50 - E: 19:58:46 D: 00:13:56 show more...

vlc ~/Videos/veyepar/chipy/chipy_march_2016/dv/Bank_of_America_Plaza/2016-03-10/19_44_50.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	19:44:50		seconds: 0.0 Wall: 19:44:50
Duration	00:13:56
	19:58:46		seconds: 0.0 Wall: 19:44:50
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2016-03-10/19_58_47.dv Apply: 19:58:47 - 20:14:48 ( 00:16:01 ) S: 19:58:47 - E: 20:14:48 D: 00:16:01 show more...

vlc ~/Videos/veyepar/chipy/chipy_march_2016/dv/Bank_of_America_Plaza/2016-03-10/19_58_47.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	19:58:47		seconds: 0.0 Wall: 19:58:47
Duration	00:16:01
	20:14:48		seconds: 0.0 Wall: 19:58:47
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

Rf filename:	root is .../show/dv/location/, example: 2013-03-13/13:13:30.dv
Sequence:
get this:	check and save to add this

2016-03-10/19_12_14.dv
audio viz

audio viz

2016-03-10/19_17_13.dv
audio viz

audio viz

2016-03-10/19_44_50.dv
audio viz

audio viz

2016-03-10/19_58_47.dv
audio viz

audio viz

Veyepar Video Eyeball Processor and Review