|
|
|
|
LEADER |
00000cam a2200000Mu 4500 |
001 |
EBOOKCENTRAL_on1261367402 |
003 |
OCoLC |
005 |
20240329122006.0 |
006 |
m o d |
007 |
cr cnu---unuuu |
008 |
210724s2021 nyu o ||| 0 eng d |
040 |
|
|
|a EBLCP
|b eng
|c EBLCP
|d UKAHL
|d N$T
|d OCLCF
|d OCLCO
|d OCLCQ
|d ESU
|d SFB
|d OCLCO
|
020 |
|
|
|a 1637420986
|
020 |
|
|
|a 9781637420980
|q (electronic bk.)
|
029 |
1 |
|
|a AU@
|b 000073249352
|
035 |
|
|
|a (OCoLC)1261367402
|
050 |
|
4 |
|a HD57.7
|
082 |
0 |
4 |
|a 658.4092
|2 23
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Elser, Jeremy.
|
245 |
1 |
0 |
|a How to Talk to Data Scientists
|h [electronic resource] :
|b A Guide for Executives.
|
260 |
|
|
|a New York :
|b Business Expert Press,
|c 2021.
|
300 |
|
|
|a 1 online resource (128 p.).
|
490 |
1 |
|
|a Issn Ser.
|
500 |
|
|
|a Description based upon print version of record.
|
520 |
|
|
|a This book provides business executives with a concrete exercise, populating a ""Master Table,"" accessible to nontechnical managers and data scientists, which serves as the connective tissue between them. Rather than teach a diluted version of data science, this book describes how to start projects and how to detect and fix problems--the moments when leadership is critical. Insights are provided through real world examples, including a Playbook featuring common projects. The intended audience is executives (C-suite through VP). However, ambitious mid-level managers and data scientists will als.
|
505 |
0 |
|
|a Cover -- Halftitle -- Title -- Copyright -- Description -- Contents -- Chapter 1: Introduction -- Chapter 2: What Is Data Science -- Chapter 3: The Master Table -- Chapter 4: Mistakes Machines Make -- Chapter 5: Mistakes Business Analysts Make -- Chapter 6: Mistakes Data Scientists Make -- Chapter 7: How to Properly Deploy Data Science -- Chapter 8: Playbook -- References -- About the Author -- Index -- Adpage -- Backcover.
|
590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
|
0 |
|a Leadership.
|
650 |
|
0 |
|a Machine learning.
|
650 |
|
0 |
|a Data mining.
|
650 |
|
0 |
|a Big data.
|
650 |
|
2 |
|a Leadership
|
650 |
|
2 |
|a Data Mining
|
650 |
|
2 |
|a Machine Learning
|
650 |
|
6 |
|a Leadership.
|
650 |
|
6 |
|a Apprentissage automatique.
|
650 |
|
6 |
|a Exploration de données (Informatique)
|
650 |
|
6 |
|a Données volumineuses.
|
650 |
|
7 |
|a Big data
|2 fast
|
650 |
|
7 |
|a Data mining
|2 fast
|
650 |
|
7 |
|a Leadership
|2 fast
|
650 |
|
7 |
|a Machine learning
|2 fast
|
653 |
|
|
|a Business
|
653 |
|
|
|a Business & Economics
|
776 |
0 |
8 |
|i Print version:
|a Elser, Jeremy
|t How to Talk to Data Scientists
|d New York : Business Expert Press,c2021
|z 9781637420973
|
830 |
|
0 |
|a Issn Ser.
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6679895
|z Texto completo
|
938 |
|
|
|a Askews and Holts Library Services
|b ASKH
|n AH39022786
|
938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL6679895
|
938 |
|
|
|a EBSCOhost
|b EBSC
|n 2969622
|
994 |
|
|
|a 92
|b IZTAP
|