Technical Resources
Azure Machine Learning service
Getting started
- 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.
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
- 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
Office hours schedule
Get your questions answered by Microsoft experts! Join the Slack channel here to access office hours.
- Thursday, Aug 1 8-10AM PT
- Wednesday Aug 21 12-2PM PT
- Wednesday Sep 4 3-6PM PT
Additional Credits
*The cut-off to request for additional credits is September 8th at 10:00AM EST (please make sure to request before then)*
If a participant requires additional credits to complete their project, credits may be provided at the discretion of Microsoft. To claim the credits please email support@devpost.com with the subject "Azure AI credits."
Within the email you'll need to provide the following:
1) Devpost username
2) Devpost draft submission title
3) 2-3 short sentences on how you'll be using the credits
4) Email associated with existing Azure account
IMPORTANT NOTE ON CREDITS: Please allow 2-3 business days for a response as your request will need to be reviewed. Once approved, the additional credits will be issued via a promo code. Credit card info will not be required.