Azure AI Services at Scale for Cloud, Mobile, and Edge Azure AI Services at Scale for Cloud, Mobile, and Edge

Azure AI Services at Scale for Cloud, Mobile, and Edge

Simon Bisson and Others
    • $62.99
    • $62.99

Publisher Description

Take advantage of the power of cloud and the latest AI techniques. Whether you’re an experienced developer wanting to improve your app with AI-powered features or 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.

This book shows you how cloud AI services fit in alongside familiar software development approaches, walks you through key Microsoft AI services, and provides real-world examples of AI-oriented architectures that integrate different Azure AI services. All you need to get started is a working knowledge of basic cloud concepts.
Become familiar with Azure AI offerings and capabilitiesBuild intelligent applications using Azure Cognitive ServicesTrain, tune, and deploy models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX)Learn to solve business problems using AI in the Power PlatformUse transfer learning to train vision, speech, and language models in minutes

GENRE
Computing & Internet
RELEASED
2022
11 April
LANGUAGE
EN
English
LENGTH
230
Pages
PUBLISHER
O'Reilly Media
SELLER
O Reilly Media, Inc.
SIZE
10.1
MB
Building Intelligent Cloud Applications Building Intelligent Cloud Applications
2019
AI-900: Microsoft Azure AI Fundamentals Practice Questions AI-900: Microsoft Azure AI Fundamentals Practice Questions
2023
Machine Learning with Dynamics 365 and Power Platform Machine Learning with Dynamics 365 and Power Platform
2021
Blockchain Tethered AI Blockchain Tethered AI
2023
Optimized Inferencing and Integration with AI on IBM zSystems: Introduction, Methodology, and Use Cases Optimized Inferencing and Integration with AI on IBM zSystems: Introduction, Methodology, and Use Cases
2022
Cloud Computing for Machine Learning and Cognitive Applications Cloud Computing for Machine Learning and Cognitive Applications
2017