Google Cloud Certified Professional Machine Learning Engineer Study Guide

Expert, guidance for the Google Cloud Machine Learning certification exam

In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you'll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer.

The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments.

The book also shows you how to:

• Frame ML problems and architect ML solutions from scratch
• Banish test anxiety by verifying and checking your progress with built-in self-assessments and other practical tools
• Use the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cards

A can't-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.

《Google Cloud Certified Professional Machine Learning Study Guide》是一本由一群專業的人工智慧（AI）和機器學習（ML）專家撰寫的書籍，提供了對Google Cloud平台上AI和ML的專業指導，並基於最新的考試課程。透過Sybex，您將更快更智慧地準備Google Cloud Certified Professional Machine Learning Engineer考試，並準備好在新工作的第一天成為一名ML工程師。

本書從頭到尾引導讀者完成機器學習過程，從數據、特徵工程、模型訓練到在Google Cloud上部署。它還討論了在選擇自定義模型、AutoML或預訓練模型（使用Vertex AI平台）時的最佳實踐。所有技術，如Tensorflow、Kubeflow和Vertex AI，都通過實際場景來呈現，以幫助您將理論應用於實際示例，並展示IT專業人員如何設計、構建和運營安全的ML雲環境。

本書還向您展示如何：
- 從頭開始構建ML問題和架構ML解決方案
- 通過內置的自我評估和其他實用工具驗證和檢查您的進度，消除考試焦慮
- 使用Sybex的在線練習環境，包括練習題和解釋、詞彙表、目標地圖和閃卡

對於準備參加Google Cloud Certified Professional Machine Learning認證考試的所有人，或者對由Google Cloud平台提供支持的ML新職業的人來說，這本Sybex的《Study Guide》擁有您在職業生涯中邁出下一步所需的一切。

ABOUT THE AUTHORS

MONA is an AI/ML specialist in the Google Public Sector. She is the author of Natural Language Processing with AWS AI Services and a frequent speaker at cloud computing and machine learning events. She was a Sr. AI/ML specialist SA at AWS before joining Google. She has 14 Certifications and has created courses for AWS AI/ML Certification Speciality Exam readiness. She has authored 17 articles on AI/ML and also co-authored a research paper on CORD-19 Neural Search, which won an award at the AAAI Conference on Artificial Intelligence

Pratap Ramamurthy is an AI/ML Specialist Customer Engineer in Google Cloud. Previously, he worked as a Sr. Principal Solution Architect at H2O.ai and before that was a Partner Solution Architect at AWS. He has authored several research papers and holds 3 patents.

關於作者
莫娜是Google公共部門的人工智慧/機器學習專家。她是《使用AWS AI服務進行自然語言處理》一書的作者，並經常在雲端運算和機器學習活動中擔任演講嘉賓。在加入Google之前，她曾在AWS擔任高級人工智慧/機器學習專家SA。她擁有14項認證，並為AWS AI/ML認證專業考試準備創建了課程。她撰寫了17篇關於人工智慧/機器學習的文章，並共同撰寫了一篇關於CORD-19神經搜索的研究論文，該論文在AAAI人工智慧大會上獲獎。
普拉塔普·拉馬穆爾希是Google Cloud的人工智慧/機器學習專家客戶工程師。之前，他曾在H2O.ai擔任高級首席解決方案架構師，之前又在AWS擔任合作夥伴解決方案架構師。他撰寫了多篇研究論文並擁有3項專利。