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

The Google Cloud Conversation API

The Google Cloud Conversation API provides a way to have interactive natural language AI conversations. It has three aspects: Cloud Dialogflow, Cloud Text-to-Speech, and Cloud Speech-to-Text:

  • Dialogflow provides a natural language understanding platform where you can design and integrate a conversational user interface.
  • Text-to-Speech converts text input into audio data of natural human speech.
  • Speech-to-Text converts audio or speech inputs to texts.

Google Cloud Dialogflow allows you to build virtual agents and chatbots. Dialogflow analyzes text or audio inputs and responds using text or speech.

Intents are at the core of Dialogflow. An intent categorizes an end user’s intention. When a user adds an inputs, Dialogflow does intent classification by using training phrases – examples of what the end users may actually say – to train the model, and the training results are the mapping of the phrases to intents...