Azure AI Services at Scale for Cloud, Mobile, and Edge (Third Early Release)
- Добавил: buratino
- Дата: 11-12-2021, 08:22
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Автор: Anand Raman, Chris Hoder, Simon Bisson
Издательство: O’Reilly
Год: 2021-12-10
Формат: epub/mobi/pdf(conv.)
Размер: 10 Mb
Язык: English
Whether you're a student planning to focus on AI or an experienced software engineer with an idea for the next viral AI app, or if you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.
Machine Learning now powers the Internet of Things, helps businesses analyze their present and predict their future, and assist consumers with everything from healthcare to gaming. Building AI into your applications and workflow is an option for an increasingly wide spectrum of users too.
Popular frameworks make it easy to build and train custom Machine Learning models using deep neural networks, while cloud services like Azure offer pre-trained models and customizable services that can quickly add machine learning functions to your applications with the minimum of code. These tools can help all users, from developers to business analysts and information workers.
In three sections, this book introduces you to AI-oriented architecture, provides an overview of the available tools, and provides real-world examples to guide you through this architecture. All you need to get started is a working knowledge of basic cloud concepts.
Become familiar with various AI offerings and capabilities
Build intelligent applications using Azure Cognitive Services
Train, tune, and deploy models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX)
Learn about how companies have used Cognitive Services to solve business problems
Use transfer learning to train vision, speech, and language models in minutes
Discover how Microsoft scaled running Azure Cognitive Services for millions of users
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