eBook
Προβολή σε EDS

Computer Vision on AWS : Build and Deploy Real-world CV Solutions with Amazon Rekognition, Lookout for Vision, and SageMaker

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Computer Vision on AWS : Build and Deploy Real-world CV Solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
Περιγραφή: Develop scalable computer vision solutions for real-world business problems and discover scaling, cost reduction, security, and bias mitigation best practices with AWS AI/ML services Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to quickly deploy and automate end-to-end CV pipelines on AWSImplement design principles to mitigate bias and scale production of CV workloadsWork with code examples to master CV concepts using AWS AI/ML servicesBook DescriptionComputer vision (CV) is a field of artificial intelligence that helps transform visual data into actionable insights to solve a wide range of business challenges. This book provides prescriptive guidance to anyone looking to learn how to approach CV problems for quickly building and deploying production-ready models. You'll begin by exploring the applications of CV and the features of Amazon Rekognition and Amazon Lookout for Vision. The book will then walk you through real-world use cases such as identity verification, real-time video analysis, content moderation, and detecting manufacturing defects that'll enable you to understand how to implement AWS AI/ML services. As you make progress, you'll also use Amazon SageMaker for data annotation, training, and deploying CV models. In the concluding chapters, you'll work with practical code examples, and discover best practices and design principles for scaling, reducing cost, improving the security posture, and mitigating bias of CV workloads. By the end of this AWS book, you'll be able to accelerate your business outcomes by building and implementing CV into your production environments with the help of AWS AI/ML services.What you will learnApply CV across industries, including e-commerce, logistics, and mediaBuild custom image classifiers with Amazon Rekognition Custom LabelsCreate automated end-to-end CV workflows on AWSDetect product defects on edge devices using Amazon Lookout for VisionBuild, deploy, and monitor CV models using Amazon SageMakerDiscover best practices for designing and evaluating CV workloadsDevelop an AI governance strategy across the entire machine learning life cycleWho this book is forIf you are a machine learning engineer or data scientist looking to discover best practices and learn how to build comprehensive CV solutions on AWS, this book is for you. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.
Συγγραφείς: Lauren Mullennex, Nate Bachmeier, Jay Rao
Resource Type: eBook.
Θέματα: Web services, Artificial intelligence, Computer vision--Computer programs, Cloud computing
Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Image Processing, COMPUTERS / Machine Theory
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 3585418
RelevancyScore: 969
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 968.509704589844
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Computer Vision on AWS : Build and Deploy Real-world CV Solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Develop scalable computer vision solutions for real-world business problems and discover scaling, cost reduction, security, and bias mitigation best practices with AWS AI/ML services Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to quickly deploy and automate end-to-end CV pipelines on AWSImplement design principles to mitigate bias and scale production of CV workloadsWork with code examples to master CV concepts using AWS AI/ML servicesBook DescriptionComputer vision (CV) is a field of artificial intelligence that helps transform visual data into actionable insights to solve a wide range of business challenges. This book provides prescriptive guidance to anyone looking to learn how to approach CV problems for quickly building and deploying production-ready models. You'll begin by exploring the applications of CV and the features of Amazon Rekognition and Amazon Lookout for Vision. The book will then walk you through real-world use cases such as identity verification, real-time video analysis, content moderation, and detecting manufacturing defects that'll enable you to understand how to implement AWS AI/ML services. As you make progress, you'll also use Amazon SageMaker for data annotation, training, and deploying CV models. In the concluding chapters, you'll work with practical code examples, and discover best practices and design principles for scaling, reducing cost, improving the security posture, and mitigating bias of CV workloads. By the end of this AWS book, you'll be able to accelerate your business outcomes by building and implementing CV into your production environments with the help of AWS AI/ML services.What you will learnApply CV across industries, including e-commerce, logistics, and mediaBuild custom image classifiers with Amazon Rekognition Custom LabelsCreate automated end-to-end CV workflows on AWSDetect product defects on edge devices using Amazon Lookout for VisionBuild, deploy, and monitor CV models using Amazon SageMakerDiscover best practices for designing and evaluating CV workloadsDevelop an AI governance strategy across the entire machine learning life cycleWho this book is forIf you are a machine learning engineer or data scientist looking to discover best practices and learn how to build comprehensive CV solutions on AWS, this book is for you. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lauren+Mullennex%22">Lauren Mullennex</searchLink><br /><searchLink fieldCode="AR" term="%22Nate+Bachmeier%22">Nate Bachmeier</searchLink><br /><searchLink fieldCode="AR" term="%22Jay+Rao%22">Jay Rao</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Web+services%22">Web services</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision--Computer+programs%22">Computer vision--Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+Computer+Vision+%26+Pattern+Recognition%22">COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Image+Processing%22">COMPUTERS / Image Processing</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Machine+Theory%22">COMPUTERS / Machine Theory</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3585418
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.37
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Web services
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Computer vision--Computer programs
        Type: general
      – SubjectFull: Cloud computing
        Type: general
    Titles:
      – TitleFull: Computer Vision on AWS : Build and Deploy Real-world CV Solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lauren Mullennex
      – PersonEntity:
          Name:
            NameFull: Nate Bachmeier
      – PersonEntity:
          Name:
            NameFull: Jay Rao
      – PersonEntity:
          Name:
            NameFull: Lauren Mullennex
      – PersonEntity:
          Name:
            NameFull: Nate Bachmeier
      – PersonEntity:
          Name:
            NameFull: Jay Rao
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 22
              M: 06
              Type: profile
              Y: 2023
          Identifiers:
            – Type: isbn-print
              Value: 9781801078689
            – Type: isbn-electronic
              Value: 9781803248202
          Titles:
            – TitleFull: Computer Vision on AWS : Build and Deploy Real-world CV Solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
              Type: main
ResultId 1