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Journey to Become a Google Cloud Machine Learning Engineer

By Dr. Logan Song
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50+ new titles added every month on new and emerging tech
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Download this book in EPUB and PDF formats, plus a monthly download credit
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60+ curated reading lists for various learning paths
50+ new titles added every month on new and emerging tech
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
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This book & 6500+ ebooks & video courses on 1000+ technologies
60+ curated reading lists for various learning paths
50+ new titles added every month on new and emerging tech
Early Access to eBooks as they are being written
Personalised content suggestions
Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
What do you get with eBook?
Download this book in EPUB and PDF formats
Access this title in our online reader
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What do you get with video?
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  1. Free Chapter
    Chapter 1: Comprehending Google Cloud Services
About 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.
Publication date:
September 2022
Publisher
Packt
Pages
330
ISBN
9781803233727

 

Part 1: Starting with GCP and Python

This part provides a general background of Google Cloud Platform (GCP) and the Python programming language. We introduce the concept of cloud computing and GCP, and briefly look at the basic GCP services including compute, storage, networking, database, big data, and machine learning. We go through an overview of the Python language basics, programming structures, and control flows. We then discuss the Python data science libraries, including NumPy, Pandas, Matpotlib, and Seaborn, to better understand their functions and use cases.

This part comprises the following chapters:

About the Author
  • Dr. Logan Song

    Dr. Logan Song is the enterprise cloud director and chief cloud architect at Dito. With 25+ years of professional experience, Dr. Song is highly skilled in enterprise information technologies, specializing in cloud computing and machine learning. He is a Google Cloud-certified professional solution architect and machine learning engineer, an AWS-certified professional solution architect and machine learning specialist, and a Microsoft-certified Azure solution architect expert. Dr. Song holds a Ph.D. in industrial engineering, an MS in computer science, and an ME in management engineering. Currently, he is also an adjunct professor at the University of Texas at Dallas, teaching cloud computing and machine learning courses.

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Journey to Become a Google Cloud Machine Learning Engineer
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