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Why AI/data science projects fail : how to avoid project pitfalls / Joyce Weiner.

By: Material type: TextTextPublisher: [Cham, Switzerland] : Springer, 2022Description: xi, 65 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9783031005572
Subject(s): DDC classification:
  • 006.3 W431w 23
LOC classification:
  • Q335
Contents:
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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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books 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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