You're reading from Practical Guide to Azure Cognitive Services

Product typeBook

Published inMay 2023

PublisherPackt

ISBN-139781801812917

Edition1st Edition

Tools

PyTorch pytest

Concepts

Neural Networks

Authors (3):

Chris Seferlis

Christopher Nellis

Andy Roberts

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Technical requirements

To build your complete Knowledge Mining (KM) solution with additional cognitive services, you will need to have an Azure subscription with at least Contributor rights to the subscription for deploying services. You will need an Azure Storage account for storing your documents pre- and postprocessing. Depending on whether you plan to deploy the solution to a Docker container or an Azure web app, you should have experience with those technologies to ensure proper deployment. You will need to have Visual Studio Code (download Visual Studio Code for Mac, Linux, or Windows at https://code.visualstudio.com/Download) with the node.js extension installed (https://nodejs.org/en/download/package-manager). Some other services you may use for your deployment are as follows:

Azure Functions: For building functions and executing code
Azure Data Factory or similar: For data orchestration and transformation
Azure Logic Apps: For workflow and triggering mechanisms...

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Practical Guide to Azure Cognitive Services

Published in: May 2023Publisher: PacktISBN-13: 9781801812917

Authors (3)

Chris Seferlis

Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.
Read more about Chris Seferlis

Christopher Nellis

Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.
Read more about Christopher Nellis

Andy Roberts

Andy Roberts is a seasoned Data Platform and AI Architect. He has dawned many hats in his career as a developer, dba, architect, project lead, or more recently a part of a sales organization, the heart of his job has always revolved around data. Acquiring it, shaping it, moving it, protecting it and using it to predict future outcomes, processing it efficiently.
Read more about Andy Roberts

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