Why AI/Data Science Projects Fail (Record no. 84853)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02964nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-01685-1 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730163649.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220601s2021 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031016851 |
| -- | 978-3-031-01685-1 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 658,403 |
| 100 1# - AUTHOR NAME | |
| Author | Weiner, Joyce. |
| 245 10 - TITLE STATEMENT | |
| Title | Why AI/Data Science Projects Fail |
| Sub Title | How to Avoid Project Pitfalls / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XI, 65 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Computation and Analytics, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Preface -- Introduction and Background -- Project Phases and Common Project Pitfalls -- Define Phase -- Making the Business Case: Assigning Value to Your Project -- Acquisition and Exploration of Data Phase -- Model-Building Phase -- Interpret and Communicate Phase -- Deployment Phase -- Summary of the five Methods to Avoid Common Pitfalls -- References -- Author Biography. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01685-1 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2021. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Operations research. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical optimization. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical statistics |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Operations Research and Decision Theory. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Optimization. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Statistics and Computing. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2766-8967 |
| 912 ## - | |
| -- | ZDB-2-SXSC |
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