001433255 000__ 04454cam\a2200637\i\4500
001433255 001__ 1433255
001433255 003__ OCoLC
001433255 005__ 20230309003556.0
001433255 006__ m\\\\\o\\d\\\\\\\\
001433255 007__ cr\un\nnnunnun
001433255 008__ 201124s2021\\\\cau\\\\\o\\\\\001\0\eng\d
001433255 019__ $$a1224199289$$a1224366418$$a1238204339
001433255 020__ $$a9781484262221$$q(electronic bk.)
001433255 020__ $$a1484262220$$q(electronic bk.)
001433255 020__ $$z9781484262214
001433255 020__ $$z1484262212
001433255 0247_ $$a10.1007/978-1-4842-6222-1$$2doi
001433255 035__ $$aSP(OCoLC)1228845789
001433255 040__ $$aUPM$$beng$$erda$$epn$$cUPM$$dOCLCO$$dOCLCQ$$dOCLCF$$dGW5XE$$dEBLCP$$dYDX$$dTOH$$dOCLCO$$dDCT$$dOCL$$dN$T$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001433255 049__ $$aISEA
001433255 050_4 $$aQ325.5
001433255 08204 $$a006.3/1$$223
001433255 1001_ $$aSingh, Himanshu,$$eauthor.
001433255 24510 $$aPractical machine learning with AWS :$$bprocess, build, deploy, and productionize your models using AWS /$$cHimanshu Singh.
001433255 264_1 $$a[Berkeley, CA] :$$bApress,$$c[2021]
001433255 300__ $$a1 online resource
001433255 336__ $$atext$$btxt$$2rdacontent
001433255 337__ $$acomputer$$bc$$2rdamedia
001433255 338__ $$aonline resource$$bcr$$2rdacarrier
001433255 347__ $$atext file
001433255 347__ $$bPDF
001433255 500__ $$aIncludes index.
001433255 5050_ $$aPart I: Introduction to Amazon Web Services -- Chapter 1: Cloud Computing and AWS -- Chapter 2: AWS Pricing and Cost Management -- Chapter 3: Security in Amazon Web Services -- Part II: Machine Learning in AWS -- Chapter 4: Introduction to Machine Learning -- Chapter 5: Data Processing in AWS -- Chapter 6: Building and Deploying Models in SageMaker -- Chapter 7: Using CloudWatch in SageMaker -- Chapter 8: Running a Custom Algorithm in SageMaker -- Chapter 9: Making an End-to-End Pipeline in SageMaker -- Part III: Other AWS Services -- Chapter 10: Machine Learning Use Cases in AWS -- Appendix A: Creating a Root User Account to Access Amazon Management Console -- Appendix B: Creating an IAM Role -- Appendix C: .Creating an IAM User- Appendix D: Creating an S3 Bucket -- Appendix E: Creating a SageMaker Notebook Instance.-
001433255 506__ $$aAccess limited to authorized users.
001433255 520__ $$aSuccessfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment. This 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. By 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. You will: Be familiar with the different machine learning services offered by AWS Understand S3, EC2, Identity Access Management, and Cloud Formation Understand SageMaker, Amazon Comprehend, and Amazon Forecast Execute live projects: from the pre-processing phase to deployment on AWS.
001433255 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 10, 2021).
001433255 61020 $$aAmazon Web Services (Firm)
001433255 650_0 $$aMachine learning.
001433255 650_0 $$aBig data.
001433255 650_0 $$aApplication software.
001433255 650_0 $$aOpen source software.
001433255 650_0 $$aComputer programming.
001433255 650_6 $$aApprentissage automatique.
001433255 650_6 $$aDonnées volumineuses.
001433255 650_6 $$aLogiciels d'application.
001433255 650_6 $$aLogiciels libres.
001433255 650_6 $$aProgrammation (Informatique)
001433255 655_0 $$aElectronic books.
001433255 77608 $$iPrint version:$$z9781484262214
001433255 77608 $$iPrint version:$$z9781484262238
001433255 852__ $$bebk
001433255 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-6222-1$$zOnline Access$$91397441.1
001433255 909CO $$ooai:library.usi.edu:1433255$$pGLOBAL_SET
001433255 980__ $$aBIB
001433255 980__ $$aEBOOK
001433255 982__ $$aEbook
001433255 983__ $$aOnline
001433255 994__ $$a92$$bISE