Technical Resources
Machine Learning Services Resources
Azure Machine Learning Service
Getting started
- Resources to help you get started with ML in Azure
- What is Azure Machine Learning service?
- New to machine learning? Our quickstarts and sample code will help you start building.
- Prefer a no-code experience? Get started with the visual interface or automated ML UX
- Prefer a Python experience? Use the Azure Machine Learning Python SDK in your own Jupyter notebook or a cloud-hosted Jupyter notebook. It’s compatible with popular frameworks like scikit-learn, PyTorch and TensorFlow. You can also use automated machine learning through the SDK
- Documentation
- SDK
- Need datasets? Azure Open Datasets offers ML-ready open data such as 10-year historical weather, 15 day weather forecast, public holidays and more.
- Ideas and inspiration from the Azure pros
Sample Projects
- Automotive price prediction (visual interface)
- Predict credit risk (visual interface)
- NYC Taxi Fare prediction (automated machine learning + data from Azure Open Datasets)
- Image classification on MNIST dataset (scikit-learn)
- Image classification on Fashion MNIST dataset (Keras/TensorFlow)
- More sample notebooks
Tutorial Videos
- Get started with Azure Machine Learning service
- Build zero-code machine learning models
- Build models quickly with automated machine learning
- Build a pet detector in less than 30 minutes
- Build a time-series forecasting model
Azure Cognitive Services
Getting started
- Resources to help you get started with AI in Azure
- What are Azure Cognitive Services?
- Start using Cognitive Services
- Using Cognitive Services in containers
- Documentation
Sample projects
Tutorial videos
- Object detection
- Computer vision made easy
- Train and Identify Unique Designs or Image Content
- Understanding and analyzing text
- Content moderation of images, text and video
- Build a bot in minutes with QnA Maker
- Building an intelligent bot to help you at conferences
- More Cognitive Services samples
- Using Cognitive Services in containers
