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OCoLC |
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171003s2017 xx 024 o vleng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d UAB
|d OCLCQ
|d OCLCO
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035 |
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|a (OCoLC)1005143084
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037 |
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|a CL0500000898
|b Safari Books Online
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4 |
|a QA76.9.D343
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049 |
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|a UAMI
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100 |
1 |
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|a Klassen, Mikhail,
|e speaker.
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245 |
1 |
0 |
|a Mining the social web, mailboxes :
|b learn to analyze and query large volumes of email using Python and Pandas /
|c with Mikhail Klassen.
|
264 |
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1 |
|a [Place of publication not identified] :
|b O'Reilly,
|c [2017]
|
300 |
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|a 1 online resource (1 streaming video file (23 min., 37 sec.))
|
336 |
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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337 |
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|a video
|b v
|2 rdamedia
|
338 |
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|a online resource
|b cr
|2 rdacarrier
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511 |
0 |
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|a Presenter, Mikhail Klassen.
|
500 |
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|a Title from title screen (viewed October 3, 2017).
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500 |
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|a Date of publication from resource description page.
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520 |
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|a "Imagine yourself as a criminal investigator. You've been tasked with searching through thousands of subpoenaed email messages for the purpose of finding evidence of fraud. What tools could you use to do your job? In this course, based on content from Matthew Russell's book, 'Mining the Social Web' (O'Reilly Media), you'll learn how to forensically examine large email data sets. Designed for learners with basic Python experience, the course explains the structure of email messages, deciphers the meanings in email metadata, and shows you how to use pandas -- Python's data analysis library -- to organize, manipulate, and query email data. Bonus: You get to practice your detective skills on an email data set used in a real U.S. criminal investigation (i.e., the 2001 Enron fraud case)."--Resource description page
|
590 |
|
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Data mining.
|
650 |
|
0 |
|a Electronic mail messages.
|
650 |
|
0 |
|a Computer crimes
|x Investigation.
|
650 |
|
0 |
|a Python (Computer program language)
|
650 |
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2 |
|a Data Mining
|
650 |
|
2 |
|a Electronic Mail
|
650 |
|
6 |
|a Exploration de données (Informatique)
|
650 |
|
6 |
|a Courrier électronique.
|
650 |
|
6 |
|a Criminalité informatique
|x Enquêtes.
|
650 |
|
6 |
|a Python (Langage de programmation)
|
650 |
|
7 |
|a electronic mail.
|2 aat
|
650 |
|
7 |
|a Computer crimes
|x Investigation.
|2 fast
|0 (OCoLC)fst00872065
|
650 |
|
7 |
|a Data mining.
|2 fast
|0 (OCoLC)fst00887946
|
650 |
|
7 |
|a Electronic mail messages.
|2 fast
|0 (OCoLC)fst00907328
|
650 |
|
7 |
|a Python (Computer program language)
|2 fast
|0 (OCoLC)fst01084736
|
856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9781491989906/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
|
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|a 92
|b IZTAP
|