|
|
|
|
LEADER |
00000cam a2200000 i 4500 |
001 |
OR_on1023436557 |
003 |
OCoLC |
005 |
20231017213018.0 |
006 |
m o d |
007 |
cr unu|||||||| |
008 |
180215s2018 cau o 000 0 eng d |
040 |
|
|
|a UMI
|b eng
|e rda
|e pn
|c UMI
|d UMI
|d STF
|d OCLCF
|d TOH
|d MERER
|d COO
|d OCLCQ
|d UOK
|d CEF
|d KSU
|d VT2
|d OCLCQ
|d DEBBG
|d WYU
|d G3B
|d S9I
|d C6I
|d UAB
|d CNCEN
|d OCLCQ
|d OCLCO
|d OCLCQ
|
020 |
|
|
|a 1492029750
|
020 |
|
|
|a 9781492029755
|
020 |
|
|
|z 9781492029755
|
029 |
1 |
|
|a AU@
|b 000067090267
|
029 |
1 |
|
|a GBVCP
|b 1014936918
|
035 |
|
|
|a (OCoLC)1023436557
|
037 |
|
|
|a CL0500000939
|b Safari Books Online
|
050 |
|
4 |
|a Q336
|
082 |
1 |
4 |
|a [E]
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Hammond, Kristian J.,
|e author.
|
245 |
1 |
0 |
|a Best practices for bringing AI to the enterprise /
|c Kristian J. Hammond.
|
246 |
3 |
|
|a Best practices for bringing artificial intelligence to the enterprise
|
250 |
|
|
|a First edition.
|
264 |
|
1 |
|a Sebastopol, CA :
|b O'Reilly Media,
|c [2018]
|
264 |
|
4 |
|c Ã2018
|
300 |
|
|
|a 1 online resource (1 volume)
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a data file
|
588 |
0 |
|
|a Online resource; title from title page (Safari, viewed February 13, 2018).
|
520 |
|
|
|a How do you determine if AI is the right solution for your business problem? This quick guide provides you with a checklist of 10 best practices for bringing AI into the enterprise. It starts with three basic questions for managers, CxOs, and engineers/architects to help determine if an AI solution might be the right choice for the problems their organizations face: Is the task genuinely data-driven? Do you have the data to perform the task? Do you need the scale that automation provides? If you answer yes to all three, these best practices can help you plan an AI effort to solve the problem. Developed by Kristian Hammond, Chief Scientist at Narrative Science and professor of Computer Science and Journalism at Northwestern University, this high-level checklist will guide you toward the development of systems that reflect your needs, are supported by the right data, and are integrated with your workflow and your people.
|
590 |
|
|
|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Machine learning.
|
650 |
|
0 |
|a Business enterprises
|x Data processing.
|
650 |
|
2 |
|a Artificial Intelligence
|
650 |
|
6 |
|a Intelligence artificielle.
|
650 |
|
6 |
|a Apprentissage automatique.
|
650 |
|
6 |
|a Entreprises
|x Informatique.
|
650 |
|
7 |
|a artificial intelligence.
|2 aat
|
650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
|
650 |
|
7 |
|a Business enterprises
|x Data processing.
|2 fast
|0 (OCoLC)fst00842543
|
650 |
|
7 |
|a Machine learning.
|2 fast
|0 (OCoLC)fst01004795
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781492029762/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
|
|
|a 92
|b IZTAP
|