Managing machine learning projects : from design to deployment

Managing machine learning projects from design to deployment

Managing Machine Learning Projects is an end-to-end guide for delivering machine learning applications on time and under budget. It lays out tools, approaches, and processes designed to handle the unique challenges of machine learning project management. You'll follow an in-depth case study thr...

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Bibliographic Details
Other Authors: Thompson, Simon G., author (author)
Format: eBook
Language:Inglés
Published: Shelter Island, NY : Manning Publications [2023]
Subjects:
Machine learning > Management.
Project management.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009755146506719
Table of Contents:
  • Introduction : delivering machine learning projects is hard; let's do it better
  • Pre-project: from opportunity to requirements
  • Pre-project: from requirements to proposal
  • Getting started
  • Diving into the problem
  • EDA, ethics, and baseline evaluations
  • Making useful models with ML
  • Testing and selection
  • Sprint 3: system building and production
  • Post project.

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