azureml.netAzure Machine Learning documentation | Microsoft Docs

Skip to main content Global navigation Docs Documentation Learn Code Samples More Documentation Learn Code Samples Contents Exit focus mode Bookmark Edit Share Twitter LinkedIn Facebook Email Table of contents -- Azure Machine Learning documentation Learn how to train, deploy, and manage machine learning models, AutoML experiments, and pipelines at scale with Azure Machine Learning. Tutorials, code examples, API references, and more show you how. Get started with machine learning Tutorial Python notebooks The designer (drag & drop) AutoML (no code/low-code) RStudio Use the studio web experience Overview What is the designer (drag & drop)? What is automated machine learning? How to choose an algorithm Tutorial AutoML: build a classification model AutoML: train & deploy ML models The designer: predict auto prices Create an image labeling project Use the Python SDK Tutorial Create your first ML experiment Classify images Predict taxi fares with AutoML Create Azure ML pipelines How-To Guide Set up your environment Interpret & explain models Deep learning vs ML Train with Scikit-learn Train with TensorFlow Train with PyTorch Train with Keras Reinforcement learning What are ML pipelines? Deploy & manage models (MLOps) How-To Guide What is MLOps? How & where to deploy Realtime prediction Batch prediction Go to reference docs Reference SDK for Python Designer algorithms & modules MLOps examples repository REST API Machine learning CLI AI reference architectures (GitHub) SDK for R -- Theme Light Dark High contrast Previous Version Docs Blog Contribute Privacy & Cookies Terms of Use Site Feedback Trademarks © Microsoft 2020 Theme Light Dark High contrast Previous Version Docs Blog Contribute Privacy & Cookies Terms of Use Site Feedback Trademarks © Microsoft 2020...