This course explores Microsoft Azure’s AzureML service offering for students that are either new to machine learning or new to Azure.
The course starts with an introduction to various aspects of building experiments in AzureML and using MLStudio to create cohesive machine learning workflows.
Each topic looks at different aspects of AzureML as well as introduces different concepts in machine learning such as regression, clustering and classification and when to use each. The course moves onto more advanced topics such as how the R language can be used to enrich AzureML as well as being able to define neural networks and lastly how to integrate into more complex data orchestrations involving other services in Azure.
40% presentation 40% hands-on labs 20% whiteboard design
Who this course is designed for:
Per person price for private on-site training. A minimum number of participants are required for private on-site training.