Google Cloud Certified Professional Machine Learning Study Guide

This book will help developer, data scientists, IT professionals and ML engineers gain expertise in the ML technology on Google Cloud Platform and take the Google Cloud Certified Professional Machine Learning Engineer exam. The book takes readers through the machine learning process starting from data, feature engineering, model training and deployment on Google Cloud. It also walks the readers through best practices on when to pick a custom models vs a AutoML or pretrained models. Google cloud AI/ML technologies are presented through real-world scenarios in order to illustrate how IT professionals can design, build, and operate secure ML cloud environments to modernize and automate applications.
The Google Cloud Certified Professional Machine Learning Engineer Study Guide includes all of the proven Sybex Study Guide tools that have helped millions of IT professionals prepare for exam success: a pre-book assessment exam, chapters with objective maps and review questions, and additional online practice tests with explanations, glossary, and flash cards. All of these tools combine with a real world approach to give professionals the best confidence for success for the exam.
The Google Cloud Certified Professional Machine Learning Engineer Study Guide covers:

• Framing ML Problems
• Architecting ML Solutions
• Designing data preparation and processing systems
• Developing, Training and Scaling ML models
• Automating and orchestrating ML pipelines
• Monitoring, optimizing, and maintaining ML solutions