Practical Machine Learning with Aws: Process, Build, Deploy, and Productionize Your Models Using Aws Singh Himanshu
Practical Machine Learning with Aws: Process, Build, Deploy, and Productionize Your Models Using Aws Singh Himanshu Successfully build, tune, deploy, and productionize any machine learning model, and…
Specifikacia Practical Machine Learning with Aws: Process, Build, Deploy, and Productionize Your Models Using Aws Singh Himanshu
Practical Machine Learning with Aws: Process, Build, Deploy, and Productionize Your Models Using Aws Singh Himanshu
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. 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 I introduces basic cloud concepts and terminologies related to AWS services such as S3, EC2, Identity Access Management, Roles, Load Balancer, and Cloud Formation.
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 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.