Practical Machine Learning with AWS

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