{"product_id":"practical-machine-learning-with-aws-process-build-deploy-and-productionize-your-models-using-aws-paperback","title":"Practical Machine Learning with Aws: Process, Build, Deploy, and Productionize Your Models Using Aws - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eHimanshu Singh\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eSuccessfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment. \u003cbr\u003eThis book is divided into three parts. Part I introduces basic cloud concepts and terminologies related to AWS services such as S3, EC2, Identity Access Management, Roles, Load Balancer, and Cloud Formation. It also covers cloud security topics such as AWS Compliance and artifacts, and the AWS Shield and CloudWatch monitoring service built for developers and DevOps engineers. Part II covers machine learning in AWS using SageMaker, which gives developers and data scientists the ability to build, train, and deploy machine learning models. Part III explores other AWS services such as Amazon Comprehend (a natural language processing service that uses machine learning to find insights and relationships in text), Amazon Forecast (helps you deliver accurate forecasts), and Amazon Textract.\u003cbr\u003eBy the end of the book, you will understand the machine learning pipeline and how to execute any machine learning model using AWS. The book will also help you prepare for the AWS Certified Machine Learning--Specialty certification exam. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eBe familiar with the different machine learning services offered by AWS \u003c\/li\u003e\n\u003cli\u003eUnderstand S3, EC2, Identity Access Management, and Cloud Formation\u003c\/li\u003e\n\u003cli\u003eUnderstand SageMaker, Amazon Comprehend, and Amazon Forecast\u003c\/li\u003e\n\u003cli\u003eExecute live projects: from the pre-processing phase to deployment on AWS\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003eMachine learning engineers who want to learn AWS machine learning services, and acquire an AWS machine learning specialty certification \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eSuccessfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment. \u003cbr\u003eThis book is divided into three parts. Part I introduces basic cloud concepts and terminologies related to AWS services such as S3, EC2, Identity Access Management, Roles, Load Balancer, and Cloud Formation. It also covers cloud security topics such as AWS Compliance and artifacts, and the AWS Shield and CloudWatch monitoring service built for developers and DevOps engineers. Part II covers machine learning in AWS using SageMaker, which gives developers and data scientists the ability to build, train, and deploy machine learning models. Part III explores other AWS services such as Amazon Comprehend (a natural language processing service that uses machine learning to find insights and relationships in text), Amazon Forecast (helps you deliver accurate forecasts), and Amazon Textract.\u003cbr\u003eBy the end of the book, you will understand the machine learning pipeline and how to execute any machine learning model using AWS. The book will also help you prepare for the AWS Certified Machine Learning--Specialty certification exam.\u003cbr\u003eYou will: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBe familiar with the different machine learning services offered by AWS \u003c\/li\u003e\n\u003cli\u003eUnderstand S3, EC2, Identity Access Management, and Cloud Formation\u003c\/li\u003e\n\u003cli\u003eUnderstand SageMaker, Amazon Comprehend, and Amazon Forecast\u003c\/li\u003e\n\u003cli\u003eExecute live projects: from the pre-processing phase to deployment on AWS\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eHimanshu Singh\u003c\/b\u003e is Technology Lead and Senior NLP Engineer at Legato Healthcare (an Anthem Company). He has seven years of experience in the AI industry, primarily in computer vision and natural language processing. He has authored three books on machine learning. He has an MBA from Narsee Monjee Institute of Management Studies, and a postgraduate diploma in Applied Statistics.\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 241\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.55 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 24, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493559333171,"sku":"9781484262214","price":93.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/aTNTdnpNZ3NmeDdINktpYzJ2blVQQT09.webp?v=1759957083","url":"https:\/\/www.vysn.com\/products\/practical-machine-learning-with-aws-process-build-deploy-and-productionize-your-models-using-aws-paperback","provider":"VYSN","version":"1.0","type":"link"}