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5 books on Cognitive API [PDF]
October 22, 2024 | 28 |
These books cover various aspects of cloud cognitive APIs, including natural language understanding, speech recognition, and computer vision. They describe practical questions of designing, implementing, and optimizing APIs that leverage AI to enable human-like interactions with machines.
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
Peter Elger and Eoin Shanaghy present a lively romp through the world of serverless AI with Amazon’s wizard-like cloud infrastructure. Ever wonder how to make a chatbot from virtually nothing? Or have a voice assistant serenade you with data-driven wisdom? This book starts you off with humble projects, letting you slowly transform into a serverless AI conjurer. With an arsenal of serverless templates at your side, you’ll be scaling data pipelines and tackling AI service headaches faster than you can say “cloud magic.”
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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
For anyone who's ever wished their app could talk back, understand what you meant (not what you said) and then sell you something you didn't know you wanted, Nishith Pathak’s guide is your new best friend. With Microsoft Cognitive Services APIs in hand, you'll soon be building smart applications that can hold a decent conversation while secretly boosting your company’s bottom line. This isn’t just AI—this is AI with manners, capable of speech, language and making you look good with minimal effort. Just a few lines of code stand between you and impressing your boss with an app that seems almost too clever for its own good.
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
Peter Elger and Eoin Shanaghy present a lively romp through the world of serverless AI with Amazon’s wizard-like cloud infrastructure. Ever wonder how to make a chatbot from virtually nothing? Or have a voice assistant serenade you with data-driven wisdom? This book starts you off with humble projects, letting you slowly transform into a serverless AI conjurer. With an arsenal of serverless templates at your side, you’ll be scaling data pipelines and tackling AI service headaches faster than you can say “cloud magic.”
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
For anyone who's ever wished their app could talk back, understand what you meant (not what you said) and then sell you something you didn't know you wanted, Nishith Pathak’s guide is your new best friend. With Microsoft Cognitive Services APIs in hand, you'll soon be building smart applications that can hold a decent conversation while secretly boosting your company’s bottom line. This isn’t just AI—this is AI with manners, capable of speech, language and making you look good with minimal effort. Just a few lines of code stand between you and impressing your boss with an app that seems almost too clever for its own good.
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
