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Machine Learning Governance for Managers

Machine Learning Governance for Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions. In today's business landscape, most organizations face challenges in scaling and maintaining a sustainable machine learning model lifecycle. This book offers a co...

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Bibliografski detalji
Glavni autori: Lazzeri, Francesca (Autor), Robsky, Alexei (Autor)
Autor kompanije: SpringerLink (Online service)
Format: Elektronički e-knjiga
Jezik:engleski
Izdano: Cham : Springer International Publishing : Imprint: Springer, 2024.
Izdanje:1st ed. 2024.
Teme:
Machine learning.
Engineering > Data processing.
Artificial intelligence > Data processing.
Business > Data processing.
Mathematical statistics > Data processing.
Machine Learning.
Data Engineering.
Data Science.
Business Analytics.
Statistics and Computing.
Online pristup:https://doi.org/10.1007/978-3-031-31805-4
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Sadržaj:
  • 1. Understanding Business Goals
  • 2. Measure the Right Things
  • 3. Searching for the Right Tools
  • 4. MLOps Governance & Architecting the Data Science Solution
  • 5. Unifying Organizations’ Machine Learning Vision.

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