Automated machine learning
Automatically build machine learning models with speed and scale
Easily build highly accurate automated machine learning models
Empower professional and nonprofessional data scientists to build machine learning models rapidly. Automate time-consuming and iterative tasks of machine learning model development using breakthrough research—and accelerate time to market.
Automatically build and deploy predictive models using the no-code UI or the SDK
Support a variety of automated machine learning tasks
Increase productivity with easy data exploration and intelligent feature engineering using deep neural networks
Build models with transparency and trust in mind using responsible machine learning solutions
Build automated ML models your way
Accelerate model creation with the automated machine learning no-code UI or SDK, or take advantage of interoperability with Microsoft Power BI, Dynamics 365, and data labelling. Customise your models quickly and have more control over experiment completion criteria, thresholds, validations, and blocked algorithms. Discover common errors and inconsistencies in your data through guardrails and correct them automatically.
Support a variety of machine learning tasks
Build and deploy models based on tabular, text, or image training data. Get support for common machine learning applications including classification, regression, time-series forecasting, text classification, multilabel text classification, named entity recognition, image classification, object detection, and image segmentation. Operationalize models at scale using machine learning operations (MLOps).
Improve productivity for all skill levels
Use built-in capabilities such as easy data exploration, automatic preprocessing, and intelligent feature engineering—which uses deep neural networks to handle large datasets and improve model scores—to save time and build highly accurate models. Get text data featurization in 100 languages with the included BERT deep-learning architecture. Use automated machine learning with multiple Microsoft products for faster insights regardless of machine learning skill level.
Understand models better
Better understand models and compare model performance using the built-in support for experiment-run summaries and detailed metrics visualisations. Use model interpretability to evaluate ML model fit for raw and engineered features, and to get insights into feature importance. Discover patterns, perform what-if analyses, and develop a deeper understanding of models to support transparency and trust in your business. Get access to the training code of the models generated.
Comprehensive security and compliance, built in
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Microsoft invests more than USD 1 billion annually on cybersecurity research and development.
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We employ more than 3,500 security experts dedicated to data security and privacy.
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Azure has more certifications than any other cloud provider. View the comprehensive list.
Get started with an Azure free account
Start free. Get $200 credit to use within 30 days. While you have your credit, get free amounts of many of our most popular services, plus free amounts of 40+ other services that are always free.
After your credit, move to pay as you go to keep building with the same free services. Pay only if you use more than your free monthly amounts.
After 12 months, you’ll keep getting 40+ always-free services—and still pay only for what you use beyond your free monthly amounts.
Customers using automated machine learning
Helping streaming services drive market growth
Jennifer Chan, Head of Client Service for North America, Entertainment on Demand Business Unit, Worldpanel Division, Kantar Group"With Azure Machine Learning, we're bringing entirely new perspectives to our clients. That helps them generate accurate, unbiased insights and make better-informed decisions based on past customer behavior."
Oriflame
Jakub Orsag, IT Research and Development Manager, Oriflame"For us, each percentage increase in accuracy of the forecast might save [1] million euros. Thanks to... Azure Machine Learning, we can evaluate not 100 or 1,000 catalogs, but hundreds of thousands of options in parallel."
Schneider Electric
Matthieu Boujonnier, Analytics Application Architect and Data Scientist, Schneider Electric"With automated machine learning in Azure Machine Learning, we can focus our testing on the most accurate models and avoid testing a large range of less valuable models, because it retains only the ones we want. That saves months of time for us."
3M
Jeff Neilson, Data Science Manager, 3M"As more of our groups rely on the Azure Machine Learning solution, our finance experts can focus more on higher-level tasks and spend less time on manual data collection and input."
Tutorials
Build your machine learning skills with Azure
Learn more about machine learning on Azure and participate in hands-on tutorials with a 30-day learning journey. By the end, you'll be prepared to take the Azure Data Scientist Associate Certification.