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Learning Google Cloud Vertex AI = build, deploy, and manage machine learning models with Vertex AI /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Learning Google Cloud Vertex AI/ Hemanth Kumar K.
其他題名:
build, deploy, and manage machine learning models with Vertex AI /
作者:
Kumar K, Hemanth.
面頁冊數:
1 online resource (347 pages)
標題:
COMPUTERS / Data Science / Machine Learning. -
電子資源:
https://portal.igpublish.com/iglibrary/search/BPB0000484.html
ISBN:
9789355515339
Learning Google Cloud Vertex AI = build, deploy, and manage machine learning models with Vertex AI /
Kumar K, Hemanth.
Learning Google Cloud Vertex AI
build, deploy, and manage machine learning models with Vertex AI /[electronic resource] :Hemanth Kumar K. - 1 online resource (347 pages)
Includes bibliographical references and index.
Learning Google Cloud Vertex AI: build, deploy, and manage machine learning models with Vertex AI -- About the Author -- About the Reviewers -- Acknowledgements -- Preface -- Errata -- Table of Contents -- Chapter 1 Basics of Google Cloud Platform -- Chapter 2 Introduction to Vertex AI and AutoML Tabular -- Chapter 3 AutoML Image, Text, and Pre-built Models -- Chapter 4 Vertex AI Workbench and Custom Model Training -- Chapter 5 Vertex AI Custom Model Hyperparameter and Deployment -- Chapter 6 Introduction to Pipelines and Kubeflow -- Chapter 7 Pipelines using Kubeflow for Custom Models -- Chapter 8 Pipelines using TensorFlow Extended -- Chapter 9 Vertex AI Feature Store -- Chapter 10 Explainable AI -- Index.
Access restricted to authorized users and institutions.
Google Cloud Vertex AI is a platform for machine learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you. This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI for a wide range of machine learning operations. It covers the basics of the Google Cloud Platform, encompassing cloud storage, big query, and IAM. Subsequently, it delves into the specifics of Vertex AI, including AutoML, custom model training, model deployment on endpoints, development of Vertex AI pipelines, and the Explainable AI feature store. By the time you finish reading this book, you will be able to navigate Vertex AI proficiently, even if you lack prior experience with cloud platforms. With the inclusion of numerous code examples throughout the book, you will be equipped with the necessary skills and confidence to create machine learning solutions using Vertex AI.
Mode of access: World Wide Web.
ISBN: 9789355515339Subjects--Topical Terms:
1483854
COMPUTERS / Data Science / Machine Learning.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA76.9
Dewey Class. No.: 004
Learning Google Cloud Vertex AI = build, deploy, and manage machine learning models with Vertex AI /
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Learning Google Cloud Vertex AI: build, deploy, and manage machine learning models with Vertex AI -- About the Author -- About the Reviewers -- Acknowledgements -- Preface -- Errata -- Table of Contents -- Chapter 1 Basics of Google Cloud Platform -- Chapter 2 Introduction to Vertex AI and AutoML Tabular -- Chapter 3 AutoML Image, Text, and Pre-built Models -- Chapter 4 Vertex AI Workbench and Custom Model Training -- Chapter 5 Vertex AI Custom Model Hyperparameter and Deployment -- Chapter 6 Introduction to Pipelines and Kubeflow -- Chapter 7 Pipelines using Kubeflow for Custom Models -- Chapter 8 Pipelines using TensorFlow Extended -- Chapter 9 Vertex AI Feature Store -- Chapter 10 Explainable AI -- Index.
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Google Cloud Vertex AI is a platform for machine learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you. This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI for a wide range of machine learning operations. It covers the basics of the Google Cloud Platform, encompassing cloud storage, big query, and IAM. Subsequently, it delves into the specifics of Vertex AI, including AutoML, custom model training, model deployment on endpoints, development of Vertex AI pipelines, and the Explainable AI feature store. By the time you finish reading this book, you will be able to navigate Vertex AI proficiently, even if you lack prior experience with cloud platforms. With the inclusion of numerous code examples throughout the book, you will be equipped with the necessary skills and confidence to create machine learning solutions using Vertex AI.
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