Global Azure BootCamp: Artificial Intelligence & Machine Learning on Azure
- 3. Machine Learning and Artificial Intelligence on Azure Sabrina Smai @Sabrina_smai Anthony Bulk @JAnthonyBulk
- 6. “Goal of ML is to build computer systems that can adapt and learn from experiences” –Tom Dietterich
- 7. Why is AI & ML important?
- 10. The technology exists today. Organizations that leverage these technologies will be able to obtain or sustain a competitive advantage. Those that don't will be left behind.
- 11. Types of Machine Learning Algorithms Algorithms Supervised Labeled Data Classification Categorical Binary 2 categories Multi-class >2 categories Regression Numerical Unsupervised Unlabeled data Clustering Grouping
- 13. Supervised Learning • Using AI to determine an A -> B (input to response) mapping • Have a machine “learn” these mappings A B Email Spam? Image Object Audio Text Housing data Price Ads, users Click? Binary classification Multiclass Classification Multiclass classification Regression Binary classification
- 16. What is Deep Learning? Input Layer Hidden Layers Output Layer Data propagation direction Error propagation direction
- 17. Types of deep learning architectures • Recurrent Neural Network • Long Short-Term Memory network • Convolutional Neural Networks • Recursive Neural Networks • Deep Belief Networks • Generative Adversarial Networks
- 18. When to use what? Build your own or consume pre-trained models? Which Experience do you want? Deployment target What engine(s) do you want to use? Microsoft ML & AI products Build your own Consume Azure Machine Learning Cognitive services, bots Code first Visual tooling On-premise ML Server Cloud AML Services (Preview) Cloud AML Studio On-premise Hadoop SQL Server SQL Server Spark Hadoop Azure Batch DSVM Azure Container Service
- 19. Workshop Build a Machine Learning Workflow and deploy web service on AML Studio
- 20. Workshop Build a Machine Learning Workflow and deploy web service on AML WorkBench
- 22. Microsoft AI Infrastructure & Services Best of Microsoft research and open source Comprehensive ML and AI capabilities for Data Scientists Easy to consume AI for developers Hyperscale hardware innovation (scale, GPU, FPGA) – Azure Compute Leading hardware, at scale, on demand
- 24. Questions?