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5 books on Cognitive API [PDF]
Updated: May 14, 2024 | 28 |
Books on Cognitive API serve as valuable resources for startups specializing in the development of Cognitive API solutions. These resources provide a comprehensive foundation, covering various aspects of Cognitive APIs, including natural language understanding, speech recognition, and computer vision. They delve into the intricacies of designing, implementing, and optimizing APIs that leverage AI to enable human-like interactions with machines. Moreover, these books often include practical examples, case studies, and best practices for building and deploying effective Cognitive API solutions.
1. Practical Guide to Azure Cognitive Services: Leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutions
2023 by Chris Seferlis, Christopher Nellis, Andy Roberts
"Discover the full potential of Azure Cognitive Services with the 'Practical Guide to Azure Cognitive Services.' This book guides you through industry-specific examples, offering a solid foundation for your journey into production. It commences with an overview of Azure Cognitive Services categorization and outlines the advantages of integrating AI solutions into real-world business applications. Delving deeper, you'll uncover how Azure Cognitive Services can optimize operational efficiency and enhance predictive capabilities. The book also explores the application of Vision capabilities for quality control, Form Recognizer for streamlining supply chain intricacies, language understanding to elevate customer service, and Cognitive Search for cutting-edge knowledge-mining solutions. By the book's conclusion, you'll be proficient in implementing diverse Cognitive Services solutions that not only boost efficiency, trim costs, and elevate customer experiences within your organization but also harness the full potential of OpenAI to automate routine tasks."
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2. Azure AI Services at Scale for Cloud, Mobile, and Edge
2022 by Simon Bisson, Mary Branscombe, Chris Hoder, Anand Raman
"Unlock the potential of cloud technology and cutting-edge AI methodologies with 'Azure AI Services at Scale for Cloud, Mobile, and Edge.' Whether you're an experienced developer aiming to enhance your application with AI-driven features or seeking to infuse intelligence into your business processes, this book has you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe guide you in constructing practical intelligent applications tailored for the cloud, mobile devices, web browsers, and edge devices through hands-on instruction. The book elucidates the integration of cloud AI services into familiar software development practices, offers insights into key Microsoft AI services, and presents real-world examples of AI-focused architectures that amalgamate various Azure AI services. To embark on this journey, you require a foundational understanding of basic cloud concepts. Within these pages, you'll gain proficiency in Azure AI offerings and capabilities, construct intelligent applications utilizing Azure Cognitive Services, and master the art of training, fine-tuning, and deploying models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX). Moreover, you'll discover how to tackle business challenges through AI within the Power Platform and harness the power of transfer learning to train vision, speech, and language models swiftly."
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3. AI as a Service: Serverless machine learning with AWS
2020 by Peter Elger, Eoin Shanaghy
"AI as a Service: Serverless Machine Learning with AWS" is a dynamic and concise handbook that delves into the potential of cloud-based solutions. This resource empowers you to construct practical applications, including chatbots and text-to-speech services, through the integration of cloud elements. The journey commences with modest projects and gradually progresses to the development of substantial, data-driven applications. Key elements encompass applying cloud AI services to existing frameworks, devising and establishing scalable data pipelines, adeptly addressing issues and intricacies within AI services, and expediting your progress with the aid of serverless templates.
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4. Google Cloud AI Services Quick Start Guide: Build Intelligent Applications with Google Cloud AI Services
2018 by Arvind Ravulavaru
"For data professionals and web developers seeking to harness the capabilities of Google Cloud AI services in their projects without delving into the intricacies of mastering machine learning for images, videos, and text, 'Google Cloud AI Services Quick Start Guide' serves as the perfect resource. While some familiarity with the Google Cloud Platform is advantageous, this book offers a streamlined approach to utilizing Google Cloud AI services effectively. Within its pages, you'll gain insight into the Google Cloud Platform and its Cloud AI services, explore the Google ML Services, and collaborate on an Angular 5 MEAN stack application. You'll seamlessly integrate the Vision API and Video Intelligence API for computer vision, paving the way for conversational experiences using the Speech Recognition API, Cloud Language Process, and Cloud Translation API services. By the book's conclusion, you'll be well-equipped to construct intelligent web applications, harnessing the prowess of Google Cloud AI services to infuse your apps with intelligence."
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5. Artificial Intelligence for .NET: Speech, Language, and Search: Building Smart Applications with Microsoft Cognitive Services APIs
2017 by Nishith Pathak
Discover the realm of artificial intelligence through this accessible and pragmatic guide, designed to help you construct applications that leverage language and user interaction for enhanced competitiveness in the modern marketplace. Explore how your application can attain a profound understanding of web content or user machine data, intelligently respond to direct user interactions via speech or text, and provide personalized recommendations for products or services. Microsoft Cognitive Services offers the tools to accomplish all this and more, with user-friendly APIs that can be integrated into desktop, web, or mobile applications. While many developers view AI implementation as a daunting task involving intricate algorithms, this book aims to alleviate those concerns by demonstrating the creation of a cognitive application with just a few lines of code. Focusing on some of the most valuable and potent language-based cognitive services APIs, "Artificial Intelligence for .NET: Speech, Language, and Search" empowers you to infuse remarkable capabilities into your applications right away. This book is suitable for developers working across various platforms, including .NET, Windows, and mobile devices, with examples provided in C#. No prior experience with AI techniques or theory is necessary.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Practical Guide to Azure Cognitive Services: Leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutions
2023 by Chris Seferlis, Christopher Nellis, Andy Roberts
"Discover the full potential of Azure Cognitive Services with the 'Practical Guide to Azure Cognitive Services.' This book guides you through industry-specific examples, offering a solid foundation for your journey into production. It commences with an overview of Azure Cognitive Services categorization and outlines the advantages of integrating AI solutions into real-world business applications. Delving deeper, you'll uncover how Azure Cognitive Services can optimize operational efficiency and enhance predictive capabilities. The book also explores the application of Vision capabilities for quality control, Form Recognizer for streamlining supply chain intricacies, language understanding to elevate customer service, and Cognitive Search for cutting-edge knowledge-mining solutions. By the book's conclusion, you'll be proficient in implementing diverse Cognitive Services solutions that not only boost efficiency, trim costs, and elevate customer experiences within your organization but also harness the full potential of OpenAI to automate routine tasks."
Download PDF
2. Azure AI Services at Scale for Cloud, Mobile, and Edge
2022 by Simon Bisson, Mary Branscombe, Chris Hoder, Anand Raman
"Unlock the potential of cloud technology and cutting-edge AI methodologies with 'Azure AI Services at Scale for Cloud, Mobile, and Edge.' Whether you're an experienced developer aiming to enhance your application with AI-driven features or seeking to infuse intelligence into your business processes, this book has you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe guide you in constructing practical intelligent applications tailored for the cloud, mobile devices, web browsers, and edge devices through hands-on instruction. The book elucidates the integration of cloud AI services into familiar software development practices, offers insights into key Microsoft AI services, and presents real-world examples of AI-focused architectures that amalgamate various Azure AI services. To embark on this journey, you require a foundational understanding of basic cloud concepts. Within these pages, you'll gain proficiency in Azure AI offerings and capabilities, construct intelligent applications utilizing Azure Cognitive Services, and master the art of training, fine-tuning, and deploying models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX). Moreover, you'll discover how to tackle business challenges through AI within the Power Platform and harness the power of transfer learning to train vision, speech, and language models swiftly."
Download PDF
3. AI as a Service: Serverless machine learning with AWS
2020 by Peter Elger, Eoin Shanaghy
"AI as a Service: Serverless Machine Learning with AWS" is a dynamic and concise handbook that delves into the potential of cloud-based solutions. This resource empowers you to construct practical applications, including chatbots and text-to-speech services, through the integration of cloud elements. The journey commences with modest projects and gradually progresses to the development of substantial, data-driven applications. Key elements encompass applying cloud AI services to existing frameworks, devising and establishing scalable data pipelines, adeptly addressing issues and intricacies within AI services, and expediting your progress with the aid of serverless templates.
Download PDF
4. Google Cloud AI Services Quick Start Guide: Build Intelligent Applications with Google Cloud AI Services
2018 by Arvind Ravulavaru
"For data professionals and web developers seeking to harness the capabilities of Google Cloud AI services in their projects without delving into the intricacies of mastering machine learning for images, videos, and text, 'Google Cloud AI Services Quick Start Guide' serves as the perfect resource. While some familiarity with the Google Cloud Platform is advantageous, this book offers a streamlined approach to utilizing Google Cloud AI services effectively. Within its pages, you'll gain insight into the Google Cloud Platform and its Cloud AI services, explore the Google ML Services, and collaborate on an Angular 5 MEAN stack application. You'll seamlessly integrate the Vision API and Video Intelligence API for computer vision, paving the way for conversational experiences using the Speech Recognition API, Cloud Language Process, and Cloud Translation API services. By the book's conclusion, you'll be well-equipped to construct intelligent web applications, harnessing the prowess of Google Cloud AI services to infuse your apps with intelligence."
Download PDF
5. Artificial Intelligence for .NET: Speech, Language, and Search: Building Smart Applications with Microsoft Cognitive Services APIs
2017 by Nishith Pathak
Discover the realm of artificial intelligence through this accessible and pragmatic guide, designed to help you construct applications that leverage language and user interaction for enhanced competitiveness in the modern marketplace. Explore how your application can attain a profound understanding of web content or user machine data, intelligently respond to direct user interactions via speech or text, and provide personalized recommendations for products or services. Microsoft Cognitive Services offers the tools to accomplish all this and more, with user-friendly APIs that can be integrated into desktop, web, or mobile applications. While many developers view AI implementation as a daunting task involving intricate algorithms, this book aims to alleviate those concerns by demonstrating the creation of a cognitive application with just a few lines of code. Focusing on some of the most valuable and potent language-based cognitive services APIs, "Artificial Intelligence for .NET: Speech, Language, and Search" empowers you to infuse remarkable capabilities into your applications right away. This book is suitable for developers working across various platforms, including .NET, Windows, and mobile devices, with examples provided in C#. No prior experience with AI techniques or theory is necessary.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
