The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS - Image 1

£47.12

This is the most expensive it has ever been. Walk away.

£47 today · previous high £47 · all-time low £47

Apress The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS

Name: The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS
Brand: Apress
Price: 47.12 GBP
Availability: InStock

Managers' Guides to Computing

Price Distribution

Price distribution over 55 days • 1 price levels

Days at Price

Price Analysis

Most common price: £47 (55 days, 100.0%)

Price range: £47 - £47

Price levels: 1 different prices over 55 days

Description

Foreword by Dr. Shreyas Subramanian, Principal Data Scientist, Amazon This book focuses on deploying, testing, monitoring, and automating ML systems in production. It covers AWS MLOps tools like Amazon SageMaker, Data Wrangler, and AWS Feature Store, along with best practices for operating ML systems on AWS. This book explains how to design, develop, and deploy ML workloads at scale using AWS cloud's well-architected pillars. It starts with an introduction to AWS services and MLOps tools, setting up the MLOps environment. It covers operational excellence, including CI/CD pipelines and Infrastructure as code. Security in MLOps, data privacy, IAM, and reliability with automated testing are discussed. Performance efficiency and cost optimization, like Right-sizing ML resources, are explored. The book concludes with MLOps best practices, MLOPS for GenAI, emerging trends, and future developments in MLOps By the end, readers will learn operating ML workloads on the AWS cloud. This book suits software developers, ML engineers, DevOps engineers, architects, and team leaders aspiring to be MLOps professionals on AWS. What you will learn: ● Create repeatable training workflows to accelerate model development ● Catalog ML artifacts centrally for model reproducibility and governance ● Integrate ML workflows with CI/CD pipelines for faster time to production ● Continuously monitor data and models in production to maintain quality ● Optimize model deployment for performance and cost Who this book is for: This book suits ML engineers, DevOps engineers, software developers, architects, and team leaders aspiring to be MLOps professionals on AWS.

Product Specifications

Brand: Apress
Format: paperback
ASIN: B0DGKDTPBF
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Release Date: 04 January 2025
Listed Since: 10 September 2024

Barcode

No barcode data available

This is the most expensive it has ever been. Walk away.

Apress The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

O'Reilly Practical MLOps - Operationalizing ML Models Book

The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)

AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam

Implementing MLOps in the Enterprise: A Production-First Approach

Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS

Engineering Deep Learning Systems - Software Engineer's Guide

MIT Press Machine Learning in Production Textbook

Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models

AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam (Sybex Study Guide)

Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines

Google Cloud Certified Professional Machine Learning Engineer Study Guide

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide: The definitive guide to passing the MLS-C01 exam on the very first attempt

A Complete Guide to DevOps with AWS: Deploy, Build, and Scale Services with AWS Tools and Techniques

Scalable AI and Design Patterns: Design, Develop, and Deploy Scalable AI Solutions

GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS (Tech Today)

MLOps Engineering at Scale: Deploying Pytorch Models on Aws

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Introducing MLOps: How to Scale Machine Learning in the Enterprise

MIT Press Artificial Intelligence - A Systems Engineering Approach

Reaching Cloud Velocity - Second Edition: A Leader's Guide to Success in the AWS Cloud

Systematic Cloud Migration: A Hands-On Guide to Architecture, Design, and Technical Implementation

This is the most expensive it has ever been. Walk away.

Apress The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

O'Reilly Practical MLOps - Operationalizing ML Models Book

The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)

AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam

Implementing MLOps in the Enterprise: A Production-First Approach

Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS

Engineering Deep Learning Systems - Software Engineer's Guide

MIT Press Machine Learning in Production Textbook

Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models

AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam (Sybex Study Guide)

Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines

Google Cloud Certified Professional Machine Learning Engineer Study Guide

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide: The definitive guide to passing the MLS-C01 exam on the very first attempt

A Complete Guide to DevOps with AWS: Deploy, Build, and Scale Services with AWS Tools and Techniques

Scalable AI and Design Patterns: Design, Develop, and Deploy Scalable AI Solutions

GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS (Tech Today)

MLOps Engineering at Scale: Deploying Pytorch Models on Aws

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Introducing MLOps: How to Scale Machine Learning in the Enterprise

MIT Press Artificial Intelligence - A Systems Engineering Approach

Reaching Cloud Velocity - Second Edition: A Leader's Guide to Success in the AWS Cloud

Systematic Cloud Migration: A Hands-On Guide to Architecture, Design, and Technical Implementation