Automated Machine Learning on AWS
Automated Machine Learning on AWS is a practical guide that provides hands-on experience to help you learn how to automate a machine learning pipeline using the various AWS services. With this book, you will be able to successfully overcome any machine learning automation challenges on AWS in no time.
Offered by
Difficulty Level
Intermediate
Completion Time
14h
Language
English
About Book
Who Is This Book For?
This book is for the novice as well as experienced machine learning practitioners looking to automate the process of building, training, and deploying machine learning-based solutions into production, using both purpose-built and other AWS services. A basic understanding of the end-to-end machine learning process and concepts, Python programming, and AWS is necessary to make the most out of this book.
Automated Machine Learning on AWS
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h total length
Getting Started with Automated Machine Learning on AWS
Automating Machine Learning Model Development Using SageMaker Autopilot
Automating Complicated Model Development with AutoGluon
Continuous Integration and Continuous Delivery (CI/CD) for Machine Learning
Continuous Deployment of a Production ML Model
Automating the Machine Learning Process Using AWS Step Functions
Building the ML Workflow Using AWS Step Functions
Automating the Machine Learning Process Using Apache Airflow
Building the ML Workflow Using Amazon Managed Workflows for Apache Airflow
An Introduction to the Machine Learning Software Development Lifecycle (MLSDLC)
Continuous Integration, Deployment, and Training for the MLSDLC
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