Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
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.
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