| 书目名称 | Practical Machine Learning with AWS | | 副标题 | Process, Build, Depl | | 编辑 | Himanshu Singh | | 视频video | http://file.papertrans.cn/754/753112/753112.mp4 | | 概述 | Explains end-to-end services provided by AWS for machine learning.Covers deployment of machine learning projects on AWS.Prepares you for a machine learning specialty certification | | 图书封面 |  | | 描述 | Successfully 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..What You Will Le | | 出版日期 | Book 2021 | | 关键词 | AWS Machine Learning; AWS Sagemaker; AWS Firehose; AWS Kinesis; AWS EMR; AWS EC2; AWS Lambda Function; AWS | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-6222-1 | | isbn_softcover | 978-1-4842-6221-4 | | isbn_ebook | 978-1-4842-6222-1 | | copyright | Himanshu Singh 2021 |
The information of publication is updating
|
|
|Archiver|手机版|小黑屋|
派博传思国际
( 京公网安备110108008328)
GMT+8, 2025-9-20 21:00
发表于 2025-3-21 16:24:12
