Andere Kunden interessierten sich auch für
![PostgreSQL Skills Development on Cloud]( "PostgreSQL Skills Development on Cloud")
PostgreSQL Skills Development on Cloud50,99 €![Beginning MLOps with MLFlow]( "Beginning MLOps with MLFlow")
Beginning MLOps with MLFlow44,99 €![Practical Machine Learning with Python]( "Practical Machine Learning with Python")
Practical Machine Learning with Python56,99 €![Mastering Machine Learning with Python in Six Steps]( "Mastering Machine Learning with Python in Six Steps")
Mastering Machine Learning with Python in Six Steps46,99 €![Practical Machine Learning for Streaming Data with Python]( "Practical Machine Learning for Streaming Data with Python")
Practical Machine Learning for Streaming Data with Python44,99 €![Oracle Business Intelligence with Machine Learning]( "Oracle Business Intelligence with Machine Learning")
Oracle Business Intelligence with Machine Learning33,99 €![Machine Learning with PySpark]( "Machine Learning with PySpark")
Machine Learning with PySpark44,99 €
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 LearnBe familiar with the different machine learning services offered by AWS Understand S3, EC2, Identity Access Management, and Cloud FormationUnderstand SageMaker, Amazon Comprehend, and Amazon ForecastExecute live projects: from the pre-processing phase to deployment on AWS
Who This Book Is For
Machine learning engineers who want to learn AWS machine learning services, and acquire an AWS machine learning specialty certification
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 LearnBe familiar with the different machine learning services offered by AWS Understand S3, EC2, Identity Access Management, and Cloud FormationUnderstand SageMaker, Amazon Comprehend, and Amazon ForecastExecute live projects: from the pre-processing phase to deployment on AWS
Who This Book Is For
Machine learning engineers who want to learn AWS machine learning services, and acquire an AWS machine learning specialty certification