In this session Dan Grecoe explains Azure Machine Learning through a comprehensive end-to-end example that he builds during the session and that encompasses:
- Problem detection
- Algorithm selection
- Machine learning model creation and deployment as a RESTful web service
- Consumption of the machine learning model
The session is intended for engineers, and Dan himself is an engineer, so he does not delve into a deep understanding of complex mathematical models behind machine learning, but instead focuses on the concepts of machine learning to demystify cloud machine learning.