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Journey to Become a Google Cloud Machine Learning Engineer

You're reading from   Journey to Become a Google Cloud Machine Learning Engineer Build the mind and hand of a Google Certified ML professional

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803233727
Length 330 pages
Edition 1st Edition
Languages
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Author (1):
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Dr. Logan Song Dr. Logan Song
Author Profile Icon Dr. Logan Song
Dr. Logan Song
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Starting with GCP and Python
2. Chapter 1: Comprehending Google Cloud Services FREE CHAPTER 3. Chapter 2: Mastering Python Programming 4. Part 2: Introducing Machine Learning
5. Chapter 3: Preparing for ML Development 6. Chapter 4: Developing and Deploying ML Models 7. Chapter 5: Understanding Neural Networks and Deep Learning 8. Part 3: Mastering ML in GCP
9. Chapter 6: Learning BQ/BQML, TensorFlow, and Keras 10. Chapter 7: Exploring Google Cloud Vertex AI 11. Chapter 8: Discovering Google Cloud ML API 12. Chapter 9: Using Google Cloud ML Best Practices 13. Part 4: Accomplishing GCP ML Certification
14. Chapter 10: Achieving the GCP ML Certification 15. Part 5: Appendices
16. Index 17. Other Books You May Enjoy Appendix 1: Practicing with Basic GCP Services 1. Appendix 2: Practicing Using the Python Data Libraries 2. Appendix 3: Practicing with Scikit-Learn 3. Appendix 4: Practicing with Google Vertex AI 4. Appendix 5: Practicing with Google Cloud ML API

Google Cloud Sight API

The Google Cloud Sight API offer powerful Google pre-trained machine learning models for vision processing and video processing. We will examine the concepts for both the Cloud Vision API and the Cloud Video API.

The Cloud Vision API

The Cloud Vision API is a tool to decipher images through Google’s pre-trained advanced ML models. It can interpret images and classify them into lots of categories. It can extract and detect text, whether the text is within pictures or document photos.

Google Cloud Vision allows developers to easily integrate vision detection features within applications, including image labeling, landmark detection, logo detection, and content detection:

  • Image label detection can detect, identify, and label objects, locations, activities, animal species, products, and many other things that exist within an image.
  • Landmark detection can identify landmarks, such as popular landmarks and natural or man-made structures,...
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