Beginning MLOps with MLFlow : deploy models in aws sagemaker, google cloud, and microsoft azure

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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Bibliographic Details
Other Authors: Alla, Sridhar, author (author), Adari, Suman Kalyan, author
Format: eBook
Language:Inglés
Published: Berkeley, California : APress [2021]
Edition:1st ed. 2021.
Subjects:
Computer software.
Machine learning.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631115306719
Table of Contents:
  • 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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