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Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls.
・ISBN 978-3-031-00557-2 paper EUR 29.99
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お気に入り
★★★
| 著者・編者 | Weiner, Joyce, |
|---|---|
| シリーズ | (Synthesis Lectures on Computation and Analytics) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 65 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-80099＞ |
解説
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.