Build a custom Azure Document Intelligence neural model to extract resume data, expose it through a .NET API, and display the results in an Angular application.
Create a custom FAQ bot effortlessly using Azure Bot Service and Language Studio. This no-code approach involves setting up a question-answering project, adding content sources, testing responses, and deploying your bot.
This concise article explores the innovative integration of Azure AI Custom Vision service with a Blazor web application to create a sophisticated Plant Diseases Classifier model. The article highlights the seamless fusion of cutting-edge AI technology with modern web development.
Learn to create, train, evaluate, and deploy an Azure AutoML regression model to predict house rents in India using Azure Machine Learning Studio.
Learn how to integrate Azure AI Services into your .NET applications in this quick and informative blog post. Discover the powerful capabilities of Azure AI Services and follow a step-by-step guide to seamlessly incorporate computer vision, natural language processing, and speech recognition into your applications. Enhance the intelligence of your .NET projects and unlock the potential of AI with Azure.
Azure Health Bot, an intelligent chatbot service by Microsoft, has emerged as a game-changer, empowering healthcare organizations to build and deploy robust health chatbots effortlessly. This article will explore the capabilities of Azure Health Bot and how it revolutionizes healthcare delivery.
In this article, we will explore how to leverage Azure Cognitive Services for Language in Python to create summary documents that distill complex text into concise and informative snippets.
Extract information from invoices, receipts, business cards and identity documents using Azure Form Recognizer
Text to Speech, Speech to Text, and Speech Translation using Azure Cognitive Services SDK on Python.
In this article, we will explore how to utilize Azure Cognitive Services SDK on Python to detect faces and emotions, opening up a world of possibilities for emotion-driven applications.
Learn how to deploy and use Azure OpenAI Codex in Azure AI Studio to generate code, SQL queries, unit tests, and explanations from prompts.
In this article, you will follow the process of using the Azure ML SDK to build a pipeline for training and modeling.
Python Notebook that calls Azure Custom Vision and Azure Computer Vision APIs to extract the plate number from any car image
In this article, we are going to learn how to implement Functional tests on .NET using xUnit.
Deploy a .NET 6 API to Azure App Service using Azure DevOps CI/CD pipelines, including Azure SQL Database setup, connection strings, build configuration, and release deployment.
In this article, we are going to learn how to deploy a .NET API to Heroku through GitHub Actions. Also, we are going to create a PostgreSQL database in Heroku.
In this article, you will learn about implementing Unit and Integration Tests on .NET with xUnit.
In this article, you will learn how to implement clean architecture on .NET.
In this article, you will learn how to deploy an Angular app to Firebase via GitHub Actions.
AWS Comprehend is a natural language processing (NLP) service that uses machine learning to analyze text and extract insights. It can perform tasks such as named entity recognition, key phrase extraction, sentiment analysis, topic modeling, and language detection.
Amazon Polly is a powerful service that allows you to create lifelike speech from text. It supports a wide variety of languages and voices, and you can customize the pronunciation, pitch, and speed of the speech to suit your needs.
AWS offers a powerful facial recognition service called Amazon Rekognition. In this tutorial, we'll use Python and the AWS SDK to create a simple app that uses the Rekognition service to detect faces in an image.
In this article, you will learn how to deploy a regression model through AWS sagemaker studio using autopilot.
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