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How to Deploy Machine Learning models in Azure Cloud with the help of Python and Flask?

Analytics Vidhya

The post How to Deploy Machine Learning models in Azure Cloud with the help of Python and Flask? This article was published as a part of the Data Science Blogathon. Introduction As a Machine learning engineer or a Data scientist, it is. appeared first on Analytics Vidhya.

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How to Develop Serverless Code Using Azure Functions?

Analytics Vidhya

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

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MLOps : Machine Learning Operations in Microsoft Azure

Analytics Vidhya

The post MLOps : Machine Learning Operations in Microsoft Azure appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Machine Learning Operations (MLOps) is the primary way to increase the.

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A Comprehensive Guide on Using Azure Machine Learning

Analytics Vidhya

In Azure Machine Learning, we use scripts to train models using machine learning frameworks like Scikit-Learn, Tensorflow, PyTorch, SparkML, and others. The post A Comprehensive Guide on Using Azure Machine Learning appeared first on Analytics Vidhya. In this guide, […].

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Creating a web app for Gradio application on Azure using Docker: A step-by-step guide

Data Science Dojo

In this step-by-step guide, learn how to deploy a web app for Gradio on Azure with Docker. This blog covers everything from Azure Container Registry to Azure Web Apps, with a step-by-step tutorial for beginners. Requirements.txt: This file lists the Python libraries required for the source code to function properly.

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Build AI Web App using Azure Cognitive Services

Analytics Vidhya

The post Build AI Web App using Azure Cognitive Services appeared first on Analytics Vidhya. Introduction Web apps are the apps through which you can showcase your solution or approach to the public at a mass level. Creating the model is not enough until it’s in use by people.

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A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment

KDnuggets

How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.