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Deploy your ML model as a Web Service in Microsoft Azure Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This article will provide you with a hands-on implementation on how to deploy an ML model in the Azure cloud. The post Deploy your ML model as a Web Service in Microsoft Azure Cloud appeared first on Analytics Vidhya.

Azure 337
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Saving the Titanic Using Azure AutoML!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The post Saving the Titanic Using Azure AutoML! To achieve this result manually, many experiments using a lot of […]. To achieve this result manually, many experiments using a lot of […]. appeared first on Analytics Vidhya.

Azure 328
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Unleash the Power of Azure ML: Python Basics for Beginners

Towards AI

A Hands-On Guide to Getting Started with Azure Machine Learning Using Python — Mastering Azure Machine Learning: Hands-On Python GuidePhoto by Fatos Bytyqi on Unsplash Hello Everyone! Welcome to the exciting Azure Machine Learning Blog Series — Mastering Azure Machine Learning: Hands-On Python Guide.

Azure 105
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Using Azure ML to Train a Serengeti Data Model for Animal Identification

ODSC - Open Data Science

Article on Azure ML by Bethany Jepchumba and Josh Ndemenge of Microsoft In this article, I will cover how you can train a model using Notebooks in Azure Machine Learning Studio. With Azure ML you get a wide range of compute options, and you can train large datasets efficiently. Let us get started!

Azure 52
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Building Large Language Models Applications using Prompt Flow in Azure ML?—?Simple LLMOps

Mlearning.ai

turbo model Select compute Provide number of instances and also the size of the instance Now review and then deploy Deployment will take few minutes to deploy the endpoint and deploy the traffic Test the model to make sure it is working as expected original article —  Samples2023/AzureML/prompflow1.md imagine AI 3D Models Mlearning.ai

Azure 52
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Building Large Language Models Applications using Prompt Flow in Azure ML with Evaluations?—?LLMOps

Mlearning.ai

turbo model Select compute Provide number of instances and also the size of the instance Now review and then deploy Deployment will take few minutes to deploy the endpoint and deploy the traffic Test the model to make sure it is working as expected Orginial Article —  Samples2023/AzureML/promptflow2.md

Azure 52
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ETL Pipelines With Python Azure Functions

Mlearning.ai

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. We won’t delve into more details on the different pipelines in this article.

ETL 52