{"product_id":"automated-machine-learning-on-aws-fast-track-the-development-of-your-production-ready-machine-learning-applications-the-aws-way-paperback","title":"Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way - Paperback","description":"\u003cp\u003eby \u003cb\u003eTrenton Potgieter\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAutomate the process of building, training, and deploying machine learning applications to production with AWS solutions such as SageMaker Autopilot, AutoGluon, Step Functions, Amazon Managed Workflows for Apache Airflow, and more\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore the various AWS services that make automated machine learning easier\u003c\/li\u003e\n\u003cli\u003eRecognize the role of DevOps and MLOps methodologies in pipeline automation\u003c\/li\u003e\n\u003cli\u003eGet acquainted with additional AWS services such as Step Functions, MWAA, and more to overcome automation challenges\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eAWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services.\u003c\/p\u003e\u003cp\u003eAutomated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline\/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI\/CD pipeline for the ML process and how the various CI\/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI\/CD pipeline using AWS CDK from the perspective of the platform engineering team.\u003c\/p\u003e\u003cp\u003eBy the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEmploy SageMaker Autopilot and Amazon SageMaker SDK to automate the machine learning process\u003c\/li\u003e\n\u003cli\u003eUnderstand how to use AutoGluon to automate complicated model building tasks\u003c\/li\u003e\n\u003cli\u003eUse the AWS CDK to codify the machine learning process\u003c\/li\u003e\n\u003cli\u003eCreate, deploy, and rebuild a CI\/CD pipeline on AWS\u003c\/li\u003e\n\u003cli\u003eBuild an ML workflow using AWS Step Functions and the Data Science SDK\u003c\/li\u003e\n\u003cli\u003eLeverage the Amazon SageMaker Feature Store to automate the machine learning software development life cycle (MLSDLC)\u003c\/li\u003e\n\u003cli\u003eDiscover how to use Amazon MWAA for a data-centric ML process\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 420\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.86 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 15, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51783079035168,"sku":"9781801811828","price":73.42,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/775740a3d6acc1011ebb8f62e3a3668a.webp?v=1780579742","url":"https:\/\/ebocreations.com\/products\/automated-machine-learning-on-aws-fast-track-the-development-of-your-production-ready-machine-learning-applications-the-aws-way-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}