£39.03

O'Reilly Data Science on AWS - ML Pipeline Implementation Guide

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£41.13 £13.42 £19.47 £25.51 £31.56 £37.60 £43.65 26 April 2026 18 May 2026 09 June 2026 01 July 2026 24 July 2026

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Description

Master the art of building and deploying data science projects using the Amazon Web Services ecosystem. This practical guide by O'Reilly helps AI and machine learning practitioners bridge the gap between data engineering and application development. By utilizing the Amazon AI and machine learning stack, you can unify your workflows to create more efficient, scalable solutions. Authors Chris Fregly and Antje Barth provide a roadmap for constructing and running continuous pipelines in the cloud. You will learn how to integrate machine learning results into live applications in minutes rather than days. The book focuses on real-world applications, teaching you how to optimize your cloud environment to reduce costs and improve overall system performance. Whether you are looking to level up your technical skills or streamline your deployment process, this book offers the hands-on knowledge needed to succeed with modern AI and ML technologies on AWS.

Key Features

Build and deploy end-to-end data science projects specifically designed for the Amazon Web Services environment.

Unify data science, data engineering, and application development tasks using the integrated Amazon AI and ML stack.

Learn to construct and run continuous cloud-based pipelines that integrate results into applications quickly.

Implement strategies to reduce operational costs and improve performance throughout your machine learning workflows.

Apply machine learning technologies to real-world use cases through practical, hands-on guidance from industry authors.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 April 2021
Listed Since
08 October 2020

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