AWS Certified ML Specialty Guide: Navigating the AWS Certified Machine Learning - Specialty exam from novice to expert (English Edition)
暫譯: AWS 認證機器學習專家指南:從新手到專家導航 AWS 認證機器學習 - 專家考試

Arunachalam, Arun

  • 出版商: BPB Publications
  • 出版日期: 2025-10-27
  • 售價: $1,720
  • 貴賓價: 9.5$1,634
  • 語言: 英文
  • 頁數: 392
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9365896428
  • ISBN-13: 9789365896428
  • 相關分類: Machine LearningAmazon Web Services
  • 海外代購書籍(需單獨結帳)

商品描述

Amazon Web Services is the world's most comprehensive and broadly adopted cloud computing platform, providing on-demand access to IT resources, such as computing power, database storage, and other essential services, over the internet with pay-as-you-go pricing. With its vast array of services and tools, AWS provides a scalable and flexible environment for developing, deploying, and managing ML models.

The purpose of the book is to empower individuals with basic AWS Cloud knowledge to leverage this advanced technology and obtain the coveted AWS Certified Machine Learning - Specialty certification. By mastering the intricacies of AWS ML services, readers can unlock new career opportunities and contribute to the ever-evolving field of ML. It guides the readers through the domains of data engineering, exploratory data analysis, modeling, and ML implementation and operations. Covering key concepts and practices, this guide equips individuals with fundamental AWS Cloud knowledge.

By the end of this book, readers will learn to create efficient data repositories, perform data transformation, sanitize and prepare data, engineer features, select and train ML models, optimize performance, build scalable solutions, leverage AWS ML services, apply security practices, and deploy operational ML solutions.

WHAT YOU WILL LEARN

● Understanding AWS ML services, including SageMaker, Lambda, Glue, and other ML tools.

● Design secure S3, EFS, and EBS repositories, implement data ingestion solutions, and perform data transformation.

● Frame business problems; select supervised, unsupervised, or ensemble models.

● Sanitize and prepare data for modeling, perform feature engineering, and analyze data for ML.

● Solving ML problems by selecting and training appropriate ML models.

● Perform hyperparameter optimization, evaluate ML models, and build performant ML solutions.

WHO THIS BOOK IS FOR

This book is designed for aspiring ML specialists, data scientists, data engineers, cloud architects, and any professionals seeking to enhance their skills and knowledge in AWS ML services. Readers should possess a basic understanding of ML concepts, experience with a programming language like Python, and foundational familiarity with core AWS services.

商品描述(中文翻譯)

Amazon Web Services(AWS)是全球最全面且廣泛採用的雲端計算平台,提供按需訪問IT資源,如計算能力、資料庫儲存和其他基本服務,並以隨用隨付的定價模式運作。憑藉其廣泛的服務和工具,AWS為開發、部署和管理機器學習(ML)模型提供了一個可擴展且靈活的環境。

本書的目的是使具備基本AWS雲端知識的個人能夠利用這項先進技術,並獲得備受推崇的AWS認證機器學習專業證書。通過掌握AWS ML服務的複雜性,讀者可以開啟新的職業機會,並為不斷發展的機器學習領域做出貢獻。本書引導讀者了解數據工程、探索性數據分析、建模以及機器學習的實施和運營。涵蓋關鍵概念和實踐,本指南使個人具備基本的AWS雲端知識。

在本書結束時,讀者將學會創建高效的數據儲存庫、執行數據轉換、清理和準備數據、工程特徵、選擇和訓練機器學習模型、優化性能、構建可擴展的解決方案、利用AWS ML服務、應用安全實踐以及部署運營機器學習解決方案。

你將學到什麼

● 了解AWS ML服務,包括SageMaker、Lambda、Glue和其他機器學習工具。

● 設計安全的S3、EFS和EBS儲存庫,實施數據攝取解決方案,並執行數據轉換。

● 框定業務問題;選擇監督式、非監督式或集成模型。

● 清理和準備數據以進行建模,執行特徵工程,並分析數據以進行機器學習。

● 通過選擇和訓練適當的機器學習模型來解決機器學習問題。

● 執行超參數優化,評估機器學習模型,並構建高效的機器學習解決方案。

本書適合誰

本書旨在為有志成為機器學習專家、數據科學家、數據工程師、雲端架構師以及任何希望提升其在AWS ML服務方面技能和知識的專業人士而設。讀者應具備基本的機器學習概念理解、使用Python等程式語言的經驗,以及對核心AWS服務的基本熟悉。