{"product_id":"computer-vision-on-aws-build-and-deploy-real-world-cv-solutions-with-amazon-rekognition-lookout-for-vision-and-sagemaker-9781801078689","title":"Computer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eDevelop 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\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/b\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eLearn how to quickly deploy and automate end-to-end CV pipelines on AWS\u003c\/li\u003e\n\u003cli\u003eImplement design principles to mitigate bias and scale production of CV workloads\u003c\/li\u003e\n\u003cli\u003eWork with code examples to master CV concepts using AWS AI\/ML services\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eComputer 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.\u003c\/p\u003e\u003cp\u003eYou'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.\u003c\/p\u003e\u003cp\u003eBy 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.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eApply CV across industries, including e-commerce, logistics, and media\u003c\/li\u003e\n\u003cli\u003eBuild custom image classifiers with Amazon Rekognition Custom Labels\u003c\/li\u003e\n\u003cli\u003eCreate automated end-to-end CV workflows on AWS\u003c\/li\u003e\n\u003cli\u003eDetect product defects on edge devices using Amazon Lookout for Vision\u003c\/li\u003e\n\u003cli\u003eBuild, deploy, and monitor CV models using Amazon SageMaker\u003c\/li\u003e\n\u003cli\u003eDiscover best practices for designing and evaluating CV workloads\u003c\/li\u003e\n\u003cli\u003eDevelop an AI governance strategy across the entire machine learning life cycle\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eIf 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eTable of Contents\u003col\u003e\n\u003cli\u003eProduct Information Document\u003c\/li\u003e\n\u003cli\u003eComputer Vision Applications and AWS AI\/ML Overview\u003c\/li\u003e\n\u003cli\u003eInteracting with Amazon Rekognition\u003c\/li\u003e\n\u003cli\u003eCreating Custom Models with Amazon Rekognition Custom Labels\u003c\/li\u003e\n\u003cli\u003eUsing Identity Verification to Build a Contactless Hotel Check-In System\u003c\/li\u003e\n\u003cli\u003eAutomating a Video Analysis Pipeline\u003c\/li\u003e\n\u003cli\u003eModerating Content with AWS AI Services\u003c\/li\u003e\n\u003cli\u003eIntroducing Amazon Lookout for Vision\u003c\/li\u003e\n\u003cli\u003eDetecting Manufacturing Defects using CV at the Edge\u003c\/li\u003e\n\u003cli\u003eLabeling Data with Amazon SageMaker Ground Truth\u003c\/li\u003e\n\u003cli\u003eUsing Amazon SageMaker for Computer Vision\u003c\/li\u003e\n\u003cli\u003eIntegrating Human-in-the-Loop with Amazon Augmented AI (A2I)\u003c\/li\u003e\n\u003cli\u003eBest Practices for Designing an End-to-End CV Pipeline\u003c\/li\u003e\n\u003cli\u003eApplying AI Governance in CV\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":52085569356119,"sku":"9781801078689","price":39.33,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781801078689.jpg?v=1762210017","url":"https:\/\/bookcurl.com\/products\/computer-vision-on-aws-build-and-deploy-real-world-cv-solutions-with-amazon-rekognition-lookout-for-vision-and-sagemaker-9781801078689","provider":"Book Curl","version":"1.0","type":"link"}