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  • Book Overview & Buying Journey to Become a Google Cloud Machine Learning Engineer
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Journey to Become a Google Cloud Machine Learning Engineer

Journey to Become a Google Cloud Machine Learning Engineer

By : Dr. Logan Song
5 (61)
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Journey to Become a Google Cloud Machine Learning Engineer

Journey to Become a Google Cloud Machine Learning Engineer

5 (61)
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)
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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
2
Appendix 2: Practicing Using the Python Data Libraries

Mastering Python Programming

Before we train a machine to learn, we need to teach it a language. Computers are very good at binary code since they were created to operate in zeros and ones. Human beings have invented a language compiler to compile a high-level language (such as Python) program into binary code so that a computer can run it. Python is a high-level language that is intuitive – it has a simplified syntax very similar to natural language. Python is widely used in solving problems using computer programming, especially in machine learning (ML).

In this chapter, we will start with a simple mathematical problem and show how Python can solve it directly and concisely. Understanding the solution will help us understand the Python basics, including variables, data structures, conditions, and controls. Then, we will cover Python’s data processing packages, including NumPy and Pandas for data manipulation and Matplotlib and Seaborn for data visualization.

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Journey to Become a Google Cloud Machine Learning Engineer
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