Natural Language Processing With Aws Ai Services
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Natural Language Processing With Aws Ai Services
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Author : Mona M
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-11-26
Natural Language Processing With Aws Ai Services written by Mona M and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Computers categories.
Work through interesting real-life business use cases to uncover valuable insights from unstructured text using AWS AI services Key FeaturesGet to grips with AWS AI services for NLP and find out how to use them to gain strategic insightsRun Python code to use Amazon Textract and Amazon Comprehend to accelerate business outcomesUnderstand how you can integrate human-in-the-loop for custom NLP use cases with Amazon A2IBook Description Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production. To start with, you'll understand the importance of NLP in today's business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic. Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications. What you will learnAutomate various NLP workflows on AWS to accelerate business outcomesUse Amazon Textract for text, tables, and handwriting recognition from images and PDF filesGain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon ComprehendSet up end-to-end document processing pipelines to understand the role of humans in the loopDevelop NLP-based intelligent search solutions with just a few lines of codeCreate both real-time and batch document processing pipelines using PythonWho this book is for If you're an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code. A basic understanding of machine learning (ML) concepts is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful.
Natural Language Processing With Aws Ai Services
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Author : Mona M
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-11-26
Natural Language Processing With Aws Ai Services written by Mona M and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Computers categories.
Work through interesting real-life business use cases to uncover valuable insights from unstructured text using AWS AI services Key FeaturesGet to grips with AWS AI services for NLP and find out how to use them to gain strategic insightsRun Python code to use Amazon Textract and Amazon Comprehend to accelerate business outcomesUnderstand how you can integrate human-in-the-loop for custom NLP use cases with Amazon A2IBook Description Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production. To start with, you'll understand the importance of NLP in today's business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic. Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications. What you will learnAutomate various NLP workflows on AWS to accelerate business outcomesUse Amazon Textract for text, tables, and handwriting recognition from images and PDF filesGain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon ComprehendSet up end-to-end document processing pipelines to understand the role of humans in the loopDevelop NLP-based intelligent search solutions with just a few lines of codeCreate both real-time and batch document processing pipelines using PythonWho this book is for If you're an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code. A basic understanding of machine learning (ML) concepts is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful.
The Applied Ai And Natural Language Processing Workshop
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Author : Krishna Sankar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-27
The Applied Ai And Natural Language Processing Workshop written by Krishna Sankar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-27 with Computers categories.
With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no time Key FeaturesLearn how to integrate Amazon's Simple Storage Services with AI and NLP projectsGet to grips with serverless computing and its applicationsCreate intelligent applications such as chatbots and image recognition modelsBook Description Are you fascinated with applications like Alexa and Siri and how they accurately process information within seconds before returning accurate results? Are you looking for a practical guide that will teach you how to build intelligent applications that can revolutionize the world of artificial intelligence? The Applied AI and NLP Workshop will take you on a practical journey where you will learn how to build artificial intelligence (AI) and natural language processing (NLP) applications with Amazon Web services (AWS). Starting with an introduction to AI and machine learning, this book will explain how Amazon S3, or Amazon Simple Storage Service, works. You'll then integrate AI with AWS to build serverless services and use Amazon's NLP service Comprehend to perform text analysis on a document. As you advance, the book will help you get to grips with topic modeling to extract and analyze common themes on a set of documents with unknown topics. You'll also work with Amazon Lex to create and customize a chatbot for task automation and use Amazon Rekognition for detecting objects, scenes, and text in images. By the end of The Applied AI and NLP Workshop, you'll be equipped with the knowledge and skills needed to build scalable intelligent applications with AWS. What you will learnGrasp the fundamentals of AI, ML, and AWSExplore the AWS command line, its interface, and its applicationsImport and export data to Amazon S3Perform topic modeling on a set of documents to analyze common themesDevelop a custom chatbot to get the latest stock market quotesCreate a personal call center and connect it to the chatbotWho this book is for If you are a machine learning enthusiast, data scientist, or programmer who wants to explore AWS's artificial intelligence and machine learning capabilities, this book is for you. Although not necessary, a basic understanding of AI and NLP will assist with grasping key topics quickly.
Intelligent Document Processing With Aws Ai Ml
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Author : Sonali Sahu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-10-21
Intelligent Document Processing With Aws Ai Ml written by Sonali Sahu and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-21 with Computers categories.
Build real-world artificial intelligence applications across industries with the help of intelligent document processing Key FeaturesTackle common document processing problems to extract value from any type of documentUnlock deeper levels of insights on IDP in a more structured and accelerated way using AWS AI/MLApply your knowledge to solve real document analysis problems in various industry applicationsBook 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 learnUnderstand the requirements and challenges in deriving insights from a documentExplore common stages in the intelligent document processing pipelineDiscover how AWS AI/ML can successfully automate IDP pipelinesFind out how to write clean and elegant Python code by leveraging AIGet to grips with the concepts and functionalities of AWS AI servicesExplore IDP across industries such as insurance, healthcare, finance, and the public sectorDetermine how to apply business rules in IDPBuild, train, and deploy models with serverless architecture for IDPWho 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.
Aws Certified Machine Learning Engineer Study Guide
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Author : Dario Cabianca
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-17
Aws Certified Machine Learning Engineer Study Guide written by Dario Cabianca and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
Prepare for the AWS Machine Learning Engineer exam smarter and faster and get job-ready with this efficient and authoritative resource In AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam, veteran AWS Practice Director at Trace3—a leading IT consultancy offering AI, data, cloud and cybersecurity solutions for clients across industries—Dario Cabianca delivers a practical and up-to-date roadmap to preparing for the MLA-C01 exam. You'll learn the skills you need to succeed on the exam as well as those you need to hit the ground running at your first AI-related tech job. You'll learn how to prepare data for machine learning models on Amazon Web Services, build, train, refine models, evaluate model performance, deploy and secure your machine learning applications against bad actors. Inside the book: Complimentary access to the Sybex online test bank, which includes an assessment test, chapter review questions, practice exam, flashcards, and a searchable key term glossary Strategies for selecting and justifying an appropriate machine learning approach for specific business problems and identifying the most efficient AWS solutions for those problems Practical techniques you can implement immediately in an artificial intelligence and machine learning (AI/ML) development or data science role Perfect for everyone preparing for the AWS Certified Machine Learning Engineer -- Associate exam, AWS Certified Machine Learning Engineer Study Guide is also an invaluable resource for those preparing for their first role in AI or data science, as well as junior-level practicing professionals seeking to review the fundamentals with a convenient desk reference.
Developing On Aws With C
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Author : Noah Gift
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-10-04
Developing On Aws With C written by Noah Gift and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-04 with Computers categories.
Many organizations today have begun to modernize their Windows workloads to take full advantage of cloud economics. If you're a C# developer at one of these companies, you need options for rehosting, replatforming, and refactoring your existing .NET Framework applications. This practical book guides you through the process of converting your monolithic application to microservices on AWS. Authors Noah Gift, founder of Pragmatic AI Labs, and James Charlesworth, engineering manager at Pendo, take you through the depth and breadth of .NET tools on AWS. You'll examine modernization techniques and pathways for incorporating Linux and Windows containers and serverless architecture to build, maintain, and scale modern .NET apps on AWS. With this book, you'll learn how to make your applications more modern, resilient, and cost-effective. Get started building solutions with C# on AWS Learn DevOps best practices for AWS Explore the development tools and services that AWS provides Successfully migrate a legacy .NET application to AWS Develop serverless .NET microservices on AWS Containerize your .NET applications and move into the cloud Monitor and test your AWS .NET applications Build cloud native solutions that combine the best of the .NET platform and AWS
Ai In The Social And Business World A Comprehensive Approach
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Author : Parul Dubey
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-10-15
Ai In The Social And Business World A Comprehensive Approach written by Parul Dubey and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.
AI in the Social and Business World: A Comprehensive Approach offers an in-depth exploration of the transformative impact of Artificial Intelligence (AI) across a wide range of sectors. This edited collection features 13 chapters, each penned by field experts, providing a comprehensive understanding of AI's theoretical foundations, practical applications, and societal implications. Each chapter offers strategic insights, case studies, and discussions on ethical considerations and future trends. Beginning with an overview of AI's historical evolution, the book navigates through its diverse applications in healthcare, social welfare, business intelligence, and more. Chapters systematically explore AI's role in enhancing healthcare delivery, optimizing business operations, and fostering social inclusion through innovative technologies like AI-based sign recognition and IoT in agriculture. With strategic insights, case studies, and discussions on ethical considerations and future trends, this book is a valuable resource for researchers, practitioners, and anyone interested in understanding AI's multifaceted influence. It is designed to foster informed discussions and strategic decisions in navigating the evolving landscape of AI in today's dynamic world. This book is an essential resource for researchers, practitioners, and anyone interested in understanding AI’s multifaceted influence across the social and business landscapes.
Handbook Of Vibroacoustics Noise And Harshness
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Author : Naveen Garg
language : en
Publisher: Springer Nature
Release Date : 2024-12-17
Handbook Of Vibroacoustics Noise And Harshness written by Naveen Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Technology & Engineering categories.
The handbook covers the topics of vibro-acoustics, noise, harshness and their related applications in detail. Various topics covered in this handbook are acoustics and vibration metrology, environmental noise measurements, building acoustics, acoustical meta-materials, underwater acoustics, soundscape approach, beam forming approach, 3D noise mapping, in-situ acoustical testing, etc. The handbook would provide a single window source of up-to-date information to the researchers, acousticians, noise and vibration control engineers, metrologists, industry, university graduates, masters, academicians, administrators, policymakers, regulators, and other stakeholders for a better understanding of vibro-acoustics, noise, harshness and related applications.
Cloud Services Race
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Author : Zuri Deepwater
language : en
Publisher: Publifye AS
Release Date : 2025-02-18
Cloud Services Race written by Zuri Deepwater and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Business & Economics categories.
Cloud Services Race examines the escalating competition in cloud infrastructure and AI services, revealing how a few dominant players are shaping the technology market. The book highlights the evolution towards an oligopoly dominated by AWS, Microsoft Azure, and Google Cloud Platform. One intriguing aspect is how these companies' strategic investments in infrastructure and R&D are solidifying their competitive advantage. Another is the increasing reliance on AI services across diverse sectors like healthcare and finance, showcasing the practical applications driving digital transformation. The book begins by providing a historical overview of cloud computing and defining key concepts like IaaS, PaaS, and SaaS. It then digs into the competitive strategies, market shares, and technological strengths of the major cloud providers. The approach relies on publicly available data, like earnings reports, to analyze their competitive strategies and AI service offerings. Finally, it considers the future impact of emerging technologies and discusses regulatory challenges, offering a balanced perspective on the forces shaping the cloud and AI landscape.
Natural Language Processing With Ai Agents Techniques For Real World Problems
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Natural Language Processing With Ai Agents Techniques For Real World Problems written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book provides a comprehensive exploration of Natural Language Processing (NLP) and its application in building intelligent AI agents capable of understanding and generating human-like interactions. It covers fundamental concepts in NLP, such as tokenization, part-of-speech tagging, and named entity recognition, followed by core machine learning techniques for language understanding. The book delves into the key architectures in NLP, from traditional machine learning approaches like Naïve Bayes and SVMs to advanced deep learning models, including RNNs, LSTMs, and transformers, with a special focus on large language models (LLMs) that have transformed the field. The second section discusses the development of NLP-powered AI agents, focusing on conversational AI and chatbots, highlighting the difference between rule-based and AI-driven models. It explores designing conversational agents and managing multi-turn dialogues. The section also covers speech recognition systems, combining NLP with automatic speech recognition (ASR) for creating voice-enabled AI agents. Techniques for natural language understanding (NLU), intent detection, and semantic parsing are explored, emphasizing how AI agents interpret and respond to user queries effectively. The book also examines the role of NLP in content generation, including natural language generation (NLG) for text summarization and AI-driven content creation. Advanced applications such as sentiment analysis, question-answering systems, multimodal NLP, and emotion detection are explored, demonstrating the broad potential of NLP agents across industries like healthcare, customer support, and robotics. The final part of the book provides practical guidance on training, fine-tuning, and deploying NLP-based AI systems at scale, with insights into cloud-based solutions and real-time processing. It concludes with a discussion of the future of NLP, focusing on AI ethics, the potential of generative AI, and the evolving trends in human-AI collaboration. This book serves as a comprehensive guide for both practitioners and researchers, offering insights into the cutting-edge techniques and applications of NLP and AI agents in solving real-world problems.