Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS

Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS

Singh, Himanshu

Paperback

DatabasesGeneral ComputersProgramming

Publisher Price: $79.99

ISBN10: 1484262212
ISBN13: 9781484262214
Publisher: Apress
Published: Nov 24 2020
Pages: 241
Weight: 1.01
Height: 0.55 Width: 7.00 Depth: 10.00
Language: English
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.

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