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Official Google Cloud Certified Professional Machine Learning Engineer Study Guide

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Official Google Cloud Certified Professional Machine Learning Engineer Study Guide provides expert guidance to prepare for the Google Cloud Certified Professional Machine Learning Engineer exam. Authored by AI and ML specialists, it offers a comprehensive roadmap through the entire machine learning process on the Google Cloud Platform, covering data, feature engineering, model training, and deployment. The book presents practical examples using technologies like TensorFlow, Kubeflow, and Vertex AI and helps readers decide when to use custom models, AutoML, or pretrained models.

It includes strategies for framing ML problems, architecting solutions, and building secure cloud ML environments. Additional features such as built-in self-assessments, Sybex’s online practice environment, practice questions, explanations, and flashcards support effective exam preparation and career advancement.
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Format: Paperback / softback
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This study guide is ideal for IT professionals, engineers, and data scientists preparing for the Google Cloud Certified Professional Machine Learning Engineer exam. It is especially suitable for those seeking practical, hands-on knowledge of machine learning implementation on the Google Cloud Platform and aiming to launch or advance a career in machine learning engineering.

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Official Google Cloud Certified Professional Machine Learning Engineer Study Guide

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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.

Series: Sybex Study Guide

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Book Details

INFORMATION

ISBN: 9781119944461

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 14 December 2023

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Professional and scholarly

DIMENSIONS

Spine width: 20.0mm

Width: 185.0mm

Height: 231.0mm

Weight: 522g

Pages: 368

About the Author

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.

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