Book Image

Journey to Become a Google Cloud Machine Learning Engineer

By : Dr. Logan Song
Book Image

Journey to Become a Google Cloud Machine Learning Engineer

By: Dr. Logan Song

Overview of this book

This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer. The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional. The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together. The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate.
Table of Contents (23 chapters)
1
Part 1: Starting with GCP and Python
4
Part 2: Introducing Machine Learning
8
Part 3: Mastering ML in GCP
13
Part 4: Accomplishing GCP ML Certification
15
Part 5: Appendices
Appendix 2: Practicing Using the Python Data Libraries

Google Cloud Translation API

Google’s Cloud Translation API allows you to translate text that’s in more than 100 languages. There are two ways to use the Translation API. From the main menu of the Google Cloud console, click on Translation (as shown in the following screenshot) or type Translation API into the search bar (at the top of the page):

After clicking on the dashboard, you will be prompted to select one of three options:

  • AutoML Translation
  • Cloud Translation API
  • Translation Hub

Since we are going to use curl to send a request to the Translation API, we will need to generate an API key to pass in our request URL.

First, let’s define our text. Type TEXT= and type any sentence. Remember that the space between words should not be left blank; instead, in each space, type %20. In our example, we will type This is a demo documentation, as shown here:

TEXT = "This%20is%20a%20demo%20documentation...