Tune your model better with Automated Machine Learning
•
2 j'aime•428 vues
Automated machine learning (Automated ML) builds high-quality machine learning models, and make much easier for hyperparameter selection and deployment. In this session, we will use Automated ML improving the training process, and some tips for developing a deep learning model as well. Feel free to check out the video record on youtube, https://youtu.be/xNBBHhModQs --- LinkedIn: https://www.linkedin.com/in/mia-chang/ --- Meetup Event: AI in Action December 2018 Meetup https://www.meetup.com/AI-in-Action-Berlin/events/256936474/ Azure Machine Learning & Authentication for Serverless Computing https://www.meetup.com/Berlin-Microsoft-Azure-Meetup/events/258259584/
Recommandé
Recommandé
Contenu connexe
Dernier
Dernier (20)
En vedette
En vedette (20)
Tune your model better with Automated Machine Learning
- 1. Automated ML with Azure Mia Chang
- 2. ● Data Scientist in Akelius GmbH ● Microsoft AI MVP ● https://www.linkedin.com/in/mia-chang/ ● https://twitter.com/bymiachang
- 3. How many of you … built a model?(work/hobby) built models for living …? watch people build the model …?
- 5. Agenda • Automated is the new black • Why Automated Machine Learning • Automated ML Capabilities • build high-quality models • make much easier for - hyperparameter selection - deployment • How to Get Started
- 6. Automated is the new black
- 8. • Preprocess the data • Select appropriate features • Select an appropriate model family • Optimize model hyperparameters • Postprocess machine learning models • Critically analyze the results obtained. https://github.com/hibayesian/awesome-automl-papers https://cdn-images-1.medium.com/max/2000/1*oU3LAye3LxFcHg0UePmbSA.png
- 9. How much is this car worth? Machine Learning Problem Example
- 10. Model Creation Is Typically Time-Consuming Mileage Condition Car brand Year of make Regulations … Mileage Car brand Year of make
- 11. Model Creation Is Typically Time-Consuming Mileage Condition Car brand Year of make Regulations … Mileage Car brand Year of make
- 13. Why Automated Machine Learning
- 16. Automated ML Capabilities • Based on Microsoft Research • Brain trained with several million experiments • Collaborative filtering, Bayesian optimization • Privacy preserving: No need to “see” the data
- 17. Automated ML Capabilities • ML Scenarios: Classification & Regression, Forecasting • Integration: Azure Machine Learning, Azure Notebooks, Jupyter Notebooks • Data Type: Numeric, Text • Languages: Python • Training Compute: Local Machine, Remote Azure DSVM (Linux), Azure Batch AI, Databricks • Scale: Faster model training using multiple cores and parallel experiments
- 18. The approach combines ideas from collaborative filtering and Bayesian optimization...
- 19. How the Azure Machine Learning service works: architecture and concepts https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-azure-machine-learning-architecture
- 21. ● Start with your azure account ● Setup a Python environment and import the SDK packages ● Configure an Azure Machine Learning service workspace ● Auto-train a model (local or cloud) ● Run the model locally with custom parameters ● Explore the results ● Register the best model
- 22. Use Python SDK to get started with Azure Machine Learning
- 23. Use Python SDK to get started with Azure Machine Learning
- 24. Compute Target
- 25. Get the Best Model
- 26. Retrieve the Best Model And Create Scoring Script Create Scoring Script Create a YAML File for the Environment Deploy to Azure as a container service And test with endpoint https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use -azureml/automated-machine-learning
- 27. ● Config https://github.com/Azure/MachineLearningNotebooks/blob/master/configuration.ipynb ● Automated Machine Learning: Classification with Deployment https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-mac hine-learning/classification-with-deployment/auto-ml-classification-with-deployment.ipynb ● ENV https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-mac hine-learning/automl_env_mac.yml https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/github-universe.jpg?itok=lwRZddXA
- 28. Resources • Azure ML SDK Azure Machine Learning Data Prep SDK Azure Machine Learning SDK for Python (main SDK) Azure Machine Learning Monitoring SDK • AskAutomatedML@microsoft.com • https://aka.ms/AutomatedML • https://aka.ms/AutomatedMLDocs • https://github.com/Azure/MachineLearningNotebooks • Global ai bootcamp automatedml
- 29. ● Data Scientist in Akelius GmbH ● Microsoft AI MVP ● https://www.linkedin.com/in/mia-chang/ ● https://twitter.com/bymiachang