Beginning MLOps with MLFlow : deploy models in AWS SageMaker, Google Cloud, and Microsoft Azure /

Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. This book guides you through the process of data analysis, model construction, and training. The authors begin by introducing you...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Alla, Sridhar (Autor), Adari, Suman Kalyan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley] : Apress, [2021]
Temas:
Machine learning.
Cloud computing.
Computer software.
Software
Machine Learning
Apprentissage automatique.
Infonuagique.
Logiciels.
software.
Cloud computing
Computer software
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Getting Started: Data Analysis
  • Chapter 2: Building Models
  • Chapter 3: What Is MLOps?
  • Chapter 4: Introduction to MLFlow
  • Chapter 5: Deploying in AWS
  • Chapter 6: Deploying in Azure
  • Chapter 7: Deploying in Google
  • Appendix A: a2ml.

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