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Build Machine Learning Models Using Microsoft Azure - Arpita - CCDays
This session guides through the process followed for development of machine learning model on Microsoft Azure from creation of machine learning model to deployment. Presented as part of Cloud Community Days on 18th June
Build Machine Learning Models Using Microsoft Azure - Arpita - CCDays
- 1. Build Machine Learning ModelUsing Microsoft Azure CLOUD COMMUNITY DAYS https://ccdays.konfhub.com/
- 2. Arpita Gupta Data Scientist,Accenture Post Graduate(M.E.), BITS Pilani • https://www.let-the-data-confess.com/ • https://www.linkedin.com/in/arpita- gupta5a5496137/ • https://twitter.com/arpita__gupta • https://www.quora.com/profile/Arpita- Gupta-15 • https://www.kaggle.com/arpitagupta29 15
- 3. Agenda NEED OF CLOUD SERVICEFOR MACHINE LEARNING MACHINE LEARNING SERVICES OFFERED BY MICROSOFT AZURE PIPELINE FOR DESIGNING A MACHINE LEARNING MODEL STEPS TO ACCESS MICROSOFT AZURE ML RESOURCES BUILDING MACHINE LEARNING MODEL USING AZURE MACHINE LEARNING MODEL DEPLOYMENT
- 4. Need of cloudservice for machine learning Bottlenecks with traditional resources: Computing time Storage issue Solutions offered by cloud services: Access to fast computing hardware Containers for storage
- 5. Machine learning Serviceby Microsoft Azure Fully Managed Integrated Easy Deployment Best Collection of ML algorithms
- 6. Pipeline for designingmachine learning model Understanding the problem Data Acquisition Data cleaning and feature selection Train the model (ML Algorithm implementation) Test and validate the model Deploy the model
- 7. Steps to accessMicrosoft Azure ML resources
- 8. Steps to accessMicrosoft Azure ML resources
- 9. Steps to accessMicrosoft Azure ML resources
- 10. Building machine learningmodel Using Azure 10 Create target for computation Attach the target to workspace Set dependencies for training Create experiment Start run process Complete the run process
- 11. Machine Learning ModelDeployment • Process flow: • Files needed: • Script to initiate and run the model • Dependencies used • Configuration file for deployment Register the model Prepare to deploy Test the model Deploy to compute target
- 12.