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Beginning MLOps with MLFlow

151,000₫

Beginning MLOps with MLFlow

Sách gia công, Bìa mềm

Thể loại:Computers - Computer Science

Năm:2021

In lần thứ:1st ed.

Ngôn ngữ:english

Trang:338

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.