Data Science mit AWS

From the initial idea to practical application: Realize data science projects in the AWS cloud. The best-selling book on Amazon Web Services is now available in German. This book describes all the important concepts and key AWS services with many practical examples. It covers the complete end-to-end process from model development to their concrete deployment. It includes best practices for all aspects of model creation, including training, deployment, security, and MLOps.

With this book, machine learning and AI practitioners will learn how to successfully create and deploy data science projects using Amazon Web Services. It provides a detailed insight into Amazon's AI and machine learning stack, which combines data science, data engineering, and application development. Chris Fregly and Antje Barth explain clearly and comprehensively how to effectively utilize the wide range of AWS tools for your ML projects.

The hands-on guide shows you specifically how to build ML pipelines in the cloud and integrate the results into applications within minutes. You will learn how to bundle all the steps of a workflow into a reusable MLOps pipeline, and you will discover numerous real-world use cases from areas such as natural language processing, computer vision, or fraud detection. Throughout the book, it is also explained how to reduce costs and optimize the performance of your applications.