Journey to Become a Google Cloud Machine Learning Engineer
Idioma: inglés
Editorial: Packt Publishing Limited, GB, 2022
- Tapa blanda
- Nuevo
Librería: Rarewaves.com USA, London, London, Reino UnidoRarewaves.com USA
Vendedor de IberLibro desde 11 de junio de 2025
Condición: Nuevo
EUR 68,12
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Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skillsKey FeaturesA comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook DescriptionThis 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 learnProvision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is forAnyone 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. …
N° de ref. del artículo LU-9781803233727
- Título
- Journey to Become a Google Cloud Machine Learning Engineer
- Autor
- Dr. Logan Song
- Editorial
- Packt Publishing Limited, GB
- Año de publicación
- 2022
- Estado
- New
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 1803233729
- ISBN 13
- 9781803233727
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.
Table of Contents
- Comprehending Google Cloud Services
- Mastering Python Programming
- Preparing for ML Development
- Developing and Deploying ML Models
- Understanding Neural Networks and Deep Learning
- Learning BQ/BQML, TensorFlow and Keras
- Exploring Google Cloud Vertex AI
- Discovering Google Cloud ML API
- Using Google Cloud ML Best Practices
- Achieving the GCP ML Certification
- Appendix 1 - Practicing with Basic GCP Services
- Appendix 2 - Practicing with Python Data Library
- Appendix 3 - Practicing with ScikitLearn
- Appendix 4 - Practicing with Vertex AI
- Appendix 5 - Practicing with Google Cloud ML API
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
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.
“Acerca de” puede pertenecer a otra edición de este título.
Rarewaves.com USA
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Vendedor de IberLibro desde 11 de junio de 2025
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