What is Azure Machine Learning?

**Azure Machine Learning** is your go-to platform for building, training, and deploying machine learning models with ease. Whether you're a beginner or an expert, it simplifies the entire ML lifecycle, from data preparation to model deployment, all while ensuring security and compliance.

What are the features of Azure Machine Learning?

* **Data Preparation**: Quickly iterate on data using Apache Spark clusters, seamlessly integrated with Microsoft Fabric. * **Feature Store**: Make features discoverable and reusable across workspaces, speeding up model development. * **AI Infrastructure**: Leverage cutting-edge GPUs and InfiniBand networking for powerful AI model training. * **Automated Machine Learning**: Create accurate models for tasks like classification, regression, and NLP without heavy coding. * **Responsible AI**: Build fair and transparent AI solutions with built-in interpretability and fairness metrics. * **Model Catalog**: Discover, fine-tune, and deploy models from Microsoft, OpenAI, Hugging Face, and more. * **Prompt Flow**: Design, evaluate, and deploy language model workflows effortlessly.

What are the use cases of Azure Machine Learning?

* **Healthcare**: Predict patient risks and improve surgical outcomes with tailored ML models. * **Retail**: Scale ML solutions to offer personalized customer experiences and better service. * **Sports**: Enhance fan experiences with AI-driven insights and innovations. * **Finance**: Train models on distributed datasets for better financial predictions.

How to use Azure Machine Learning?

* **Get Started**: Sign up for Azure and create your workspace resources. * **Run Jupyter Notebooks**: Develop models directly in the cloud using Azure Machine Learning studio. * **Train Models**: Use automated ML to train models on tabular data with no coding required. * **Deploy Models**: Operationalize your models with managed endpoints for safe rollouts.

Where is Azure Machine Learning available?

It’s available in several Azure regions, with more being added over time.

What is the service-level agreement (SLA)?

Azure Machine Learning offers a 99.9% uptime SLA.

What is Azure Machine Learning studio?

It’s a centralized platform for building, training, and deploying ML models, designed for data scientists and developers.

How are generative AI features in Azure Machine Learning different from Azure OpenAI Service?

Azure Machine Learning supports language model fine-tuning and deployment, while Azure OpenAI Service focuses on integrating models into applications.

What is the price for using generative AI features in Azure Machine Learning?

There’s no extra charge for Azure Machine Learning, but you’ll pay for compute and other Azure services used.

Azure Machine Learning

5.0

21.96%

Azure Machine Learning simplifies the ML lifecycle, offering powerful tools for data preparation, model training, and deployment, all while ensuring security and compliance.

Added on: 2025.03.08

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