Can I read Beginning MLOps with MLFlow : Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure on EtoBox?

Beginning MLOps with MLFlow : Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure by Sridhar Alla; Suman Kalyan Adari is a nonfiction available to read on EtoBox.

What is Beginning MLOps with MLFlow : Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure about?

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 to basic data analysis on a credit card data set and teach you how to analyze the features and their relationships to the target variable. You will learn how to build logistic regression models in scikit-learn and PySpark, and you will go through the process of hyperparameter tuning with a validation data set. You will explore three different deployment setups of machine learning models with varying levels of automation to help you better understand MLOps. MLFlow is covered and you will explore how to integrate MLOps into your existing code, allowing you to easily track metrics, parameters, graphs, and models. You will be guided through the process of deploying and querying your models with AWS SageMaker, Google Cloud, and Microsoft Azure. And you will learn how to integrate your MLOps setups using Databricks. What You Will Learn Perform basic data analysis and construct models in scik

Who reads Beginning MLOps with MLFlow : Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure?

Author

Sridhar Alla; Suman Kalyan Adari

Publisher

Apress Apress

Published

2021

Language

EN

ISBN

9781484265499

Category

nonfiction

Subjects

Computer Science, Language Learning, Mathematics