Covers AWS cloud concepts and terminologies for a solid foundation in cloud computing
Detailed exploration of AWS SageMaker for building, training, and deploying machine learning models
Hands-on projects from data preprocessing to deployment for practical learning
Covers additional AWS services such as Amazon Comprehend, Amazon Forecast, and Amazon Textures for diverse ML applications
Prepares readers for the AWS Certified Machine Learning Specialty exam
Summarized by Shop
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 Balance