Intelligent Document Processing with AWS AI/ML: A comprehensive guide to building IDP pipelines with applications across industries
Sahu, Sonali
- 出版商: Packt Publishing
- 出版日期: 2022-10-21
- 售價: $1,740
- 貴賓價: 9.5 折 $1,653
- 語言: 英文
- 頁數: 246
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1801810567
- ISBN-13: 9781801810562
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相關分類:
Amazon Web Services
海外代購書籍(需單獨結帳)
相關主題
商品描述
Build real-world artificial intelligence applications across industries with the help of intelligent document processing
Key Features:
- Tackle common document processing problems to extract value from any type of document
- Unlock deeper levels of insights on IDP in a more structured and accelerated way using AWS AI/ML
- Apply your knowledge to solve real document analysis problems in various industry applications
Book Description:
With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs.
This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. You'll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, you'll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, you'll find out how to apply your skillset to solve practical problems.
By the end of this AWS book, you'll have mastered the fundamentals of document processing with machine learning through practical implementation.
What You Will Learn:
- Understand the requirements and challenges in deriving insights from a document
- Explore common stages in the intelligent document processing pipeline
- Discover how AWS AI/ML can successfully automate IDP pipelines
- Find out how to write clean and elegant Python code by leveraging AI
- Get to grips with the concepts and functionalities of AWS AI services
- Explore IDP across industries such as insurance, healthcare, finance, and the public sector
- Determine how to apply business rules in IDP
- Build, train, and deploy models with serverless architecture for IDP
Who this book is for:
This book is for technical professionals and thought leaders who want to understand and solve business problems by leveraging insights from their documents. If you want to learn about machine learning and artificial intelligence, and work with real-world use cases such as document processing with technology, this book is for you. To make the most of this book, you should have basic knowledge of AI/ML and python programming concepts. This book is also especially useful for developers looking to explore AI/ML with industry use cases.
商品描述(中文翻譯)
這本書的標題是「利用智能文件處理在各行業中建立真實世界的人工智能應用」。以下是一些重點特色:
- 解決常見的文件處理問題,從任何類型的文件中提取價值。
- 使用AWS AI/ML更結構化和加速的方式解鎖IDP的更深層次洞察。
- 將您的知識應用於解決各種行業應用中的真實文件分析問題。
這本書的描述如下:在這個數字時代,數據量呈指數級增長,對於專業人士來說,以加速和節省成本的方式處理這些數據,以獲取價值變得至關重要。組織接收到的數據通常以原始文件格式呈現,能夠處理這些文件對於滿足不斷增長的業務需求至關重要。
這本書是一本全面指南,幫助您理解AI/ML基礎知識及其在文件處理用例中的應用。您將首先了解傳統文件處理面臨的挑戰,並發現如何使用AWS AI服務構建端到端的文件處理流程。隨著進一步的學習,您將親自體驗使用流行的Python庫來處理和從文件中提取洞察力。本書從基礎知識開始,帶您進入文件處理的真實行業用例,以在醫療保健行業提供價值導向的護理和在金融行業加速貸款申請處理。在各章中,您將了解如何應用您的技能解決實際問題。
通過閱讀這本AWS書,您將通過實際實施掌握機器學習的文件處理基礎知識。
您將學到以下內容:
- 了解從文件中獲取洞察力的要求和挑戰。
- 探索智能文件處理流程中的常見階段。
- 發現AWS AI/ML如何成功自動化IDP流程。
- 通過利用AI來撰寫乾淨優雅的Python代碼。
- 掌握AWS AI服務的概念和功能。
- 在保險、醫療保健、金融和公共部門等行業中探索IDP。
- 確定如何在IDP中應用業務規則。
- 使用無伺服器架構為IDP構建、訓練和部署模型。
這本書適合技術專業人士和思想領袖,他們希望通過利用文件中的洞察力來理解和解決業務問題。如果您想了解機器學習和人工智能,並使用技術來處理實際的用例,例如文件處理,那麼這本書適合您。為了充分利用這本書,您應該具備基本的AI/ML和Python編程概念知識。對於希望探索具有行業用例的AI/ML的開發人員來說,這本書尤其有用。