Why AI/data science projects fail : how to avoid project pitfalls / Joyce Weiner.
Material type: TextPublisher: [Cham, Switzerland] : Springer, 2022Description: xi, 65 pages ; 24 cmContent type:- text
- unmediated
- volume
- 9783031005572
- 006.3 W431w 23
- Q335
Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Books | Main Library-Nabua | Graduate School Library | GRD 006.3 W431w 2022 (Browse shelf(Opens below)) | 1-1 | Available | 026278 |
Includes bibliographical references.
Introduction and background -- Project phases and common project pitfalls -- Five methods to avoid common pitfalls -- Define phase -- Making business case: assigning value to your project -- Acquisition and exploration of data phase -- Model-building phase -- Interpret and communicate phase -- Summary of the five methods to avoid common pitfalls
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