The Microsoft Automated ML Service automates the machine learning process by using techniques like probabilistic matrix factorization to automatically train and deploy models for a given dataset with minimal coding. It handles tasks like feature engineering, model training, evaluation, and selection to build accurate machine learning models. The service is part of Azure Machine Learning and can be accessed through Azure Notebooks with sample projects provided to demonstrate its capabilities for automated machine learning.

1. Microsoft Automated ML Service
Sorin Peste
Data & AI TSP, Microsoft
https://aka.ms/automatedml

3. • Brand
• Category
• Mileage
• Displacement
• Fuel Type
• Condition
• Age
• Etc…
Price ?

4. Automated ML

8. Grid Search and Random Search
http://dkopczyk.quantee.co.uk/hyperparameter-optimization/

11. https://aka.ms/automatedml

12. https://aka.ms/automatedml

13. CAPABILITIES
Automated ML

14. Probabilistic Matrix Factorization for Automated Machine Learning – Fusi et al, 2017
https://arxiv.org/abs/1705.05355

16. TRYING IT OUT
Automated ML

17. Azure ML Service
https://azure.microsoft.com/en-us/services/machine-learning-service/

18. Azure ML Service
https://azure.microsoft.com/en-us/services/machine-learning-service/

19. Azure Notebooks
https://notebooks.azure.com/

20. https://github.com/Azure/MachineLearningNotebooks
Sample Notebooks for Azure ML Service

21. DEMO
Automated ML

22. UNDERNEATH THE HOOD
Automated ML

23. https://arxiv.org/abs/1705.05355

24. Matrix Factorization

25. Matrix Factorization
Datasets
Pipelines
new dataset