Azure Machine Learning 101
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This document provides an overview of Azure Machine Learning including: an agenda covering what machine learning is, what Azure Machine Learning is, how to apply machine learning, and a tutorial. It discusses machine learning concepts like algorithms, datasets, features, models and training. It describes Azure Machine Learning Studio, workspaces, experiments, datasets, algorithms, models and exposing models as web services. Finally, it provides resources for machine learning on Azure and leaves time for questions.
Azure Machine Learning 101
- 1. Azure Machine Learning 101 ANDY BADERA, PRINCIPAL CONSULTANT II, CUSTOM DEV
- 2. Agenda What is Machine Learning? What is Azure Machine Learning? How can I apply Machine Learning? Azure Machine Learning Tutorial Machine Learning Resources Q&A
- 3. Goals Azure MSDN credit https://azure.microsoft.com/en-us/pricing/member- offers/msdn-benefits/ Azure ML studio https://studio.azureml.net/Home Run a sample Understand how to expose your model
- 4. What is Machine Learning? Related terms: neural networks, statistical artificial intelligence Big Data Algorithms Datasets, features, models, training Supervised & unsupervised
- 5. What is Azure Machine Learning? ML Studio Workspaces Experiments Datasets Algorithms Models Webservices Stream Analytics functions
- 6. What is Azure Machine Learning? Pick a subject/find data Determine features Clean your data Select an algorithm Train your model using a dataset (supervised) Expose as a webservice (or Stream Analytics function)
- 7. Azure ML: Algorithm Cheat Sheet
- 8. How can I apply Machine Learning? Linear regression – predictive analytics – anomaly detection Classification – does this person make more or less than $50K? Clustering – if someone likes this, maybe they also like that
- 9. Azure Machine Learning Tutorial Run Microsoft-provided sample
- 10. Machine Learning Resources MS ML Docs: https://azure.microsoft.com/en- us/documentation/services/machine-learning/ MS ML Blog: http://blogs.technet.com/b/machinelearning/ Algorithm cheat sheet: https://azure.microsoft.com/en- us/documentation/articles/machine-learning-algorithm-cheat-sheet/ Choosing an algorithm: https://azure.microsoft.com/en- us/documentation/articles/machine-learning-algorithm-choice/
- 11. Q&A
Editor's Notes
- #2: Show of hands – who here has used Machine Learning? Who has used Azure?