Azure Machine Learning for Software Engineers

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Description

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.

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