• Complain

Logan Song - Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional

Here you can read online Logan Song - Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2022, publisher: Packt Publishing, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Logan Song Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional
  • Book:
    Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional
  • Author:
  • Publisher:
    Packt Publishing
  • Genre:
  • Year:
    2022
  • Rating:
    4 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 80
    • 1
    • 2
    • 3
    • 4
    • 5

Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skills Key Features: A comprehensive yet easy-to-follow Google Cloud machine learning study guide Explore full-spectrum and step-by-step practice examples to develop hands-on skills Read through and learn from in-depth discussions of Google ML certification exam questions Book Description: 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. What You Will Learn: Provision Google Cloud services related to data science and machine learning Program with the Python programming language and data science libraries Understand machine learning concepts and model development processes Explore deep learning concepts and neural networks Build, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AI Discover the Google Cloud ML Application Programming Interface (API) Prepare to achieve Google Cloud Professional Machine Learning Engineer certification Who this book is for: Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.

Logan Song: author's other books


Who wrote Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional? Find out the surname, the name of the author of the book and a list of all author's works by series.

Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Journey to Become a Google Cloud Machine Learning Engineer Build the mind and - photo 1
Journey to Become a Google Cloud Machine Learning Engineer

Build the mind and hand of a Google Certified ML professional

Dr. Logan Song

BIRMINGHAMMUMBAI Journey to Become a Google Cloud Machine Learning Engineer - photo 2

BIRMINGHAMMUMBAI

Journey to Become a Google Cloud Machine Learning Engineer

Copyright 2022 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Publishing Product Manager: Dhruv Jagdish Kataria

Content Development Editor: Sean Lobo

Technical Editor: Rahul Limbachiya

Copy Editor: Safis Editing

Project Coordinator: Farheen Fathima

Proofreader: Safis Editing

Indexer: Pratik Shirodkar

Production Designer: Prashant Ghare

Marketing Coordinators: Shifa Ansari and Abeer Riyaz Dawe

First published: September 2022

Production reference: 1300822

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80323-372-7

www.packt.com

To Grandpa and Grandma, your love made this book possible.

To Dad and Mom, your DNA is in the book.

To Peiying, Peihua, Peixing, and Hengping, your encouragement is visible on each page of the book.

To Nancy, Neil, and Nicole, you are the driving force of the book.

To Tracey, thank you for allowing me to spend so much time on machine learning in the cloud.

- Logan Song

Contributors
About the author

Dr. Logan Song is the enterprise cloud director and chief cloud architect at Dito (www.ditoweb.com). 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.

From Thanksgiving of 2021 to August of 2022, it took nine months to complete this book. I want to thank God for the amazing grace that made this book possible.

This book would not have been possible without the great support and collaboration from the Packt team: Sean Lobo, Prashant Ghare, Aparna Nair, Dhruv J. Kataria, the technical reviewer, the copy editors, and the whole Packt production team. Its been such a great pleasure working with the team!

I also want to thank my friend Farukh Khalilov, and the graduate student assistants at the University of Texas at Dallas, for their tremendous help in developing and verifying the Google Cloud practices and Python labs in this book. My gratitude is beyond words.

About the reviewer

Vijender Singh is a certified multi-cloud expert having 5+ years of experience and currently working with the Amazon Alexa AI team to tackle the effective use of AI on Alexa. He has completed an MSc with Distinction from Liverpool John Moores University with research work on keyphrase extraction. He has completed MLPE GCP, 5x Azure, 2x AWS certification, and TensorFlow certification. Vijender is instrumental in co-mentoring and teaching colleagues with machine learning and TensorFlow, which is a fundamental tool for the ML journey. He believes in working toward a better tomorrow.

Before starting the Google Cloud Machine Learning journey, you need to ask yourself a serious question: am I committed to taking this path?

In the summer of 2015, I was facing the same question: do I really want to get out of my comfort zone and pursue a new career called cloud computing and machine learning? At that time, I had been working in the traditional IT industry for over 20 years and was very comfortable with my professional life. Starting a new journey meant that I would have to learn from scratch!

For the whole summer, I was thinking about this question, along with another fundamental question: what do I really want to do in my life?

And one day, I came across Steve Jobs famous commencement speech at Stanford University in 2005 (https://news.stanford.edu/2005/06/14/jobs-061505/), and suddenly I heard a voice: Stay hungry, stay foolish!

At that moment, I made up my mind.

Today, I am so thankful to God for what happened in that summer and on that day!

Now, if you are determined as I was in 2015, lets march on our journey, together.

- Logan Song

Table of Contents
Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional»

Look at similar books to Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional»

Discussion, reviews of the book Journey to Become a Google Cloud Machine Learning Engineer: Build the Mind and Hand of a Google Certified ML Professional and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.