Microsoft Azure
azure.microsoft.com › en-us › products › machine-learning
Azure Machine Learning - ML as a Service | Microsoft Azure
Build machine learning models in a simplified way with machine learning platforms from Azure. Machine learning as a service increases accessibility and efficiency.
Microsoft Learn
learn.microsoft.com › en-us › azure › architecture › ai-ml › guide › data-science-and-machine-learning
Overview of Microsoft Machine Learning Products and Technologies - Azure Architecture Center | Microsoft Learn
Designer helps you easily and quickly build, test, and deploy models by using prebuilt machine learning algorithms. Additionally, you can integrate Machine Learning with Azure DevOps and GitHub Actions for continuous integration and continuous deployment (CI/CD) of machine learning models.
About the Azure ML Studio Model Catalog category
We released on May 23, 2023 a new experience to easily deploy Hugging Face models in Azure Machine Learning, introducing a new model catalog natively integrated within the AzureML Studio. You can browse compatible models directly in Azure Machine Learning Studio, or use the “Deploy in Azure ... More on discuss.huggingface.co
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May 22, 2023Machine learning in Azure
I'd suggest the DP-100 certification from Azure (just skim the course material, it's free), it focuses on the use of the Azure SDK. So basically everything Drag & Drop you can also do via Python More on reddit.com
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May 23, 2021How good is Azure for MLOps?
I have had least fun on AzureML, their docs is super complicated, and it seems that the ML side of things is an after thought. If you are comfortable staying in the terminal, and can bash a lot, then things might be easier. In terms of ease, if possible, and if you have the budget, I would follow the following order AWS, Google (vertex ai), and then Azure. Google used to lag behind AWS but is catching up soon, with innovative offerings. I prefer google because of simplicity, and intuitive UI. Having said that we have AWS credits, so I mostly end up using AWS for most production ready stuff. Dm me if you have any questions. More on reddit.com
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May 9, 2024Is there a way to get azure machine learning for free?
Azure subscription itself costs nothing, and if you don't have an account you can get one with a bunch of free services for a year when registering. More on reddit.com
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April 3, 2024Videos
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Azure Machine Learning: the Overview - YouTube
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Training a Model with the Azure ML Designer - YouTube
45:09
Basic first project! Azure Machine Learning Easy Getting Starting ...
Deploy a Machine Learning Model using AutoML by Azure ML | Machine ...
Training machine learning models at scale with Azure ...
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Model deployment and inferencing with Azure Machine Learning | ...
Microsoft Fabric Community
community.fabric.microsoft.com › t5 › Desktop › Azure-Machine-Learning-model-doesn-t-show-up-in-Power-BI-Pro › td-p › 3071723
Solved: Azure Machine Learning model doesn't show up in Po... - Microsoft Fabric Community
February 10, 2023 - Solved: I have followed this tutorial to create an Automaded ML model in Azure: Set up AutoML with the studio UI - Azure Machine Learning | Microsoft
Microsoft Learn
learn.microsoft.com › en-us › azure › machine-learning › foundry-models-overview
Explore Microsoft Foundry Models in Azure Machine Learning - Azure Machine Learning | Microsoft Learn
The models are made available through Azure Machine Learning registries that enable ML first approach to hosting and distributing Machine Learning assets such as model weights, container runtimes for running the models, pipelines for evaluating and fine-tuning the models and datasets for benchmarks and samples.
Hugging Face
discuss.huggingface.co › azure ml studio model catalog
About the Azure ML Studio Model Catalog category - Azure ML Studio Model Catalog - Hugging Face Forums
May 22, 2023 - We released on May 23, 2023 a new experience to easily deploy Hugging Face models in Azure Machine Learning, introducing a new model catalog natively integrated within the AzureML Studio.
Microsoft Learn
learn.microsoft.com › en-us › azure › machine-learning › concept-train-machine-learning-model
Build & train models - Azure Machine Learning | Microsoft Learn
Learn how to train models with Azure Machine Learning. Explore the different training methods and choose the right one for your project.
Microsoft Learn
learn.microsoft.com › en-us › azure › machine-learning › overview-what-is-azure-machine-learning
What is Azure Machine Learning? - Azure Machine Learning | Microsoft Learn
Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle: Train and deploy models, and manage MLOps.
Microsoft Learning
microsoftlearning.github.io › AI-900-AIFundamentals › instructions › 02-module-02.html
Explore Automated Machine Learning in Azure ML
In Azure Machine Learning Studio, click on manage preview features (the loud speaker icon - 🕫). ... Automated machine learning enables you to try multiple algorithms and parameters to train multiple models, and identify the best one for your data.
Polestar Analytics
polestaranalytics.com › partners › microsoft › azure › machine-learning
Azure Machine Learning Services- Polestar Analytics
Azure Machine Learning is an enterprise grade machine learning service to build, test, deploy, and manage high-quality ML models faster on a secure platform. It is designed for individuals and teams that want to deploy MLOps and enable rapid deploy robust ML models.
Microsoft Learn
learn.microsoft.com › en-us › azure › machine-learning › how-to-manage-models
Register and work with models - Azure Machine Learning | Microsoft Learn
2 weeks ago - Model registration lets you store and version your models in your workspace in the Azure cloud. The model registry helps you organize and keep track of your trained models. You can register models as assets in Azure Machine Learning by using ...
GitHub
github.com › Azure › azureml-examples
GitHub - Azure/azureml-examples: Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
The azureml-examples repository contains examples and tutorials to help you learn how to use Azure Machine Learning (Azure ML) services and features.
Starred by 2K users
Forked by 1.6K users
Languages Jupyter Notebook 94.5% | Python 3.7% | Shell 1.3% | C# 0.3% | Bicep 0.1% | PureBasic 0.1%
DataCamp
datacamp.com › tutorial › azure-machine-learning-guide
A Beginner's Guide to Azure Machine Learning | DataCamp
March 21, 2024 - Azure Machine Learning (Azure ML) is a comprehensive cloud service designed for the machine learning project lifecycle, catering to data scientists, machine learning professionals, and engineers. It integrates seamlessly with the Azure ecosystem, providing a robust platform for building, deploying, and managing machine learning models.
Coursera
coursera.org › browse › data science › machine learning
Microsoft Azure Machine Learning | Coursera
July 5, 2021 - Automated machine learning can help make it easier. In this module, you'll learn how to identify different kinds of machine learning model and how to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model.
Reddit
reddit.com › r/datascience › machine learning in azure
r/datascience on Reddit: Machine learning in Azure
May 23, 2021 -
Hi everybody,
I recently got hired in a company using azure, and I expect to be building ml models on that platform. I am currently looking into their ml based offerings, and right now feel somewhat disappointed that the main ML tool is centered around drag and drop modelling (??). Has anybody worked with ML in azure doing more custom things?
In AWS I would build ml or data pipeline using infrastructure as code and pointing to my python scripts doing the actual logic. This gave me perfect flexibility for what I needed to do, and I am wondering how to do this in azure without building everything myself.
Do I do arm templates pointing at my python scripts or what? I would like to use some of the ml services provided (easy monitoring and deployment ) but perhaps with custom feature engineering and modelling.
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I'd suggest the DP-100 certification from Azure (just skim the course material, it's free), it focuses on the use of the Azure SDK. So basically everything Drag & Drop you can also do via Python
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You can use Azure Synapse Analytics, which is what I am using to build ML models in Python and leveraging their Spark Pools. Those notebooks can also be parameterized and take data from the flows you build there as well. Since you're new to it, I second the recommendation provided by u/RyuHayabusa710 .
Azure Docs
docs.azure.cn › en-us › machine-learning › concept-model-management-and-deployment
MLOps machine learning model management - Azure Machine Learning | Azure Docs
October 20, 2025 - Learn how Azure Machine Learning uses machine learning operations (MLOps) to help manage the lifecycle of your models.
Analytics Vidhya
analyticsvidhya.com › home › azure machine learning: a step-by-step guide
Azure Machine Learning : A Step-by-Step Guide
March 28, 2025 - The main goal of machine learning ... use scripts to train models using machine learning frameworks like Scikit-Learn, Tensorflow, PyTorch, SparkML, and others....
Microsoft Learn
learn.microsoft.com › en-us › python › api › azureml-core › azureml.core.model.model
azureml.core.model.Model class - Azure Machine Learning Python | Microsoft Learn
A model is the result of a Azure Machine learning training Run or some other model training process outside of Azure. Regardless of how the model is produced, it can be registered in a workspace, where it is represented by a name and a version.
Microsoft Learn
learn.microsoft.com › en-us › azure › machine-learning
Azure Machine Learning documentation | Microsoft Learn
Train and deploy machine learning models with Azure Machine Learning. Get started with quickstarts, explore tutorials, and manage your ML lifecycle with MLOps best practices.
Medium
medium.com › @nirashagunawardana9 › practical-guide-to-deploying-an-ml-model-on-azure-ml-studio-6e20621aa301
Practical Guide to Deploying an ML Model on Azure ML Studio | by Rashmi Gunawardana | Medium
September 12, 2023 - In Azure Machine Learning Studio, a “compute target” is a compute resource that you use to train machine learning models, run experiments, and deploy models.
IBM
ibm.com › docs › en › watsonx › saas
Microsoft Azure ML Studio frameworks
You can use Microsoft Azure ML Studio to log payload or feedback data, and to measure performance accuracy, runtime bias detection, explainability, and auto-debias results for deployed models when you evaluate models.