MLOps with Ray : Best Practices and Strategies for Adopting Machine Learning Operations

MLOps with Ray Best Practices and Strategies for Adopting Machine Learning Operations

Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their compet...

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Detalles Bibliográficos
Autor principal: Luu, Hien (-)
Otros Autores: Pumperla, Max, Zhang, Zhe
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2024.
Edición:1st ed. 2024.
Materias:
Machine learning.
Python (Computer program language).
Artificial intelligence.
Machine Learning.
Python.
Artificial Intelligence.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835435806719
Tabla de Contenidos:
  • Chapter 1: Introduction to MLOps
  • Chapter 2: MLOps Adoption Strategy and Case Studies
  • Chapter 3: Feature Engineering Infrastructure
  • Chapter 4: Model Training Infrastructure
  • Chapter 5: Model Serving
  • Chapter 6: Machine Learning Observability
  • Chapter 7: Ray Core
  • Chapter 8: Ray Air
  • Chapter 9: The Future of MLOps.

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